21,101 results on '"HOME automation"'
Search Results
2. The potential of light fidelity in smart home automation.
- Author
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Aydin, Hakan, Gürkaş Aydin, Gülsüm Zeynep, and Aydin, Muhammed Ali
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SMART homes ,HOME automation ,OPTICAL communications ,WIRELESS communications ,DATA transmission systems - Abstract
Light fidelity (Li-Fi) is a pioneering optical wireless communication (OWC) technology that utilizes visible light for wireless data transmission. Since its inception in a TED global talk by Professor Harald Haas in 2011, Li-Fi has captured significant attention in the research community. Smart home automation systems (SHAs) leverage internet of things (IoT) technology to remotely manage and automate various home devices and systems. Li-Fi technology has the potential to enable remote control of devices such as lighting, air conditioning, music systems, security cameras, and door locks within SHAs. This study presents Li-Fi-IoT, a Li-Fi-based system designed for efficient and secure IoT device management in SHAs. A series of experiments demonstrates the system's potential in IoT device control using Li-Fi technology. The research findings highlight the substantial improvement in data transfer speed, energy efficiency, and data security that Li-Fi technology can bring to SHAs. [ABSTRACT FROM AUTHOR]
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- 2024
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3. The lights are on, but no one's home: A performance test to measure digital skills to use IoT home automation.
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de Boer, Pia S, van Deursen, Alexander JAM, and van Rompay, Thomas JL
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SMART devices , *SMART homes , *HOME automation , *DUTCH people , *INTERNET of things , *DIGITAL divide - Abstract
As the Internet of Things (IoT) is making its entrance in people's homes, differences in the skills to operate smart home devices need to be considered. This study examined (1) the levels of digital skills to use IoT home automation among Dutch adult citizens and (2) differences of these skills over gender, age, and education. Therefore, a performance test with actual real-life tasks was conducted among a representative sample (N = 99) of the Dutch adult population to measure digital skill levels. The participants performed tasks while using interconnected smart home devices in a virtual test environment. The results revealed that the Dutch adult population possesses insufficient data and strategic skills to use smart home devices to its full potential. Even less likely to benefit are the elderly and less educated; they showed the lowest levels of data and strategic skills. In addition, the elderly lack operational skills to use IoT home automation beneficially. [ABSTRACT FROM AUTHOR]
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- 2024
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4. Analysis of crypto module in RIOT OS using Frama-C.
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Rai, Nirnai and Grover, Jyoti
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CRYPTOCURRENCIES , *SOFTWARE verification , *SOURCE code , *MEDICAL equipment , *INTERNET of things , *HOME automation - Abstract
With the growing advances in Internet of Things (IoT) technology, it has become an indispensable part of many areas like home automation, industries, medical equipment, etc. Thus, the security of the IoT hardware and software is of utmost importance. The availability of secure IoT software components allows for better confidence in the use of IoT devices for consumers. IoT operating systems are core software components of the IoT ecosystem. There are a lot of IoT operating systems (OSes) available, but Real-time Operating System for IoT (RIOT) is one of the most commonly used open-source OS used by universities and businesses. As the RIOT source code is written in C, it inherently has some security vulnerabilities. With IoT devices having the characteristic of limited battery and computational capability, it is very challenging to detect cyber-attacks online. This would necessitate more rigorous security checks being performed on the device prior to deployment. For the security of the RIOT OS, the analysis techniques used in highly critical domains can also be applied to IoT software. Thus, the purpose of this work is to apply techniques such as formal verification to the crypto module of RIOT using a software analysis platform for C code, namely Frama-C in order to analyze the security aspects of the module. [ABSTRACT FROM AUTHOR]
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- 2024
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5. The experience of using home automation by individuals with disability.
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Cleland, Jenny, Hutchinson, Claire, Williams, Patricia A. H., Manuel, Kisani, and Laver, Kate
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SAFETY , *RESEARCH funding , *AUTONOMY (Psychology) , *MENTAL health , *INTERVIEWING , *DIGNITY , *HOME environment , *ASSISTIVE technology , *EXPERIENCE , *THEMATIC analysis , *FRUSTRATION , *RESEARCH methodology , *QUALITY of life , *AUTOMATION , *PHENOMENOLOGY , *INTERPERSONAL relations , *SELF advocacy , *HUMAN comfort , *PEOPLE with disabilities , *INTERIOR decoration , *SOCIAL participation , *WELL-being - Abstract
People with disability often require long-term support within the home. Advances in technology have made home automation more readily available to support people living with disability. However, few studies describe the perspectives of people using home automation. The aim of this study was to explore the experience of individuals living with long term serious disability using home automation. A phenomenological approach was adopted. In-depth, semi-structured interviews were conducted. Data were analysed using an inductive approach to identify themes. Two overarching categories of themes were identified: 'benefits' and 'challenges'. Benefits captured the outcomes experienced by people living with disability using home automation and the impact upon their lives. Participants described several challenges with using home automation such as self-advocating to receive home automation, long waiting periods in the assessment and installation process, frustrations when home automation did not work, and the challenges experienced from being without home automation. This research identified the benefits and challenges of home automation experienced by people with long term serious disability. The findings can be used to understand the importance of home automation and the impact it has upon the lives of people living with disability. It is recognised that home automation can have a positive impact upon the lives of people living with disability. Funding for home automation is a complicated process with long waiting times. This process needs to be readdressed in order for people to receive home automation in a timely manner to prevent negative experiences. Home automation within the community could support people living with disability to access the community more. It is important to develop facilities and communities that are accessible and inclusive for people with disabilities. [ABSTRACT FROM AUTHOR]
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- 2024
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6. A face recognition and intelligent home automation system.
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Balakrishnan, D., Mariappan, Umasree, Dharani, S., Rajyalakshmi, Y., and Sravani, S.
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CONVOLUTIONAL neural networks , *HOME automation , *SUPPORT vector machines , *FIRE prevention , *SENSOR arrays - Abstract
Intelligent The way we interact with our living areas has been completely transformed by home automation systems. Through the integration of microcontrollers, sensors, and Internet of Things devices, these systems are able to reliably determine occupancy levels and guarantee house fire safety. This paper's main goal is to conduct a thorough analysis of an intelligent home automation system. Furthermore, for facial recognition and intelligent home automation systems, Support Vector Machines (SVM) and Convolutional Neural Networks (CNN) are introduced. This clever home automation setup employs IoT, microcontrollers, and an array of sensors to identify occupancy levels, oversee potential fire hazards, and bolster safety measures in a residential setting. Through the integration of cutting-edge technologies, the aim is to automate tasks, heighten convenience, and ensure the welfare of inhabitants. Within the findings, a thorough exploration of the architecture, constituents, and operations of the intelligent home automation system is presented. Special attention is given to the pivotal role played by IoT, microcontrollers, and sensors in detecting occupancy as well as monitoring fire risks and safety measures. This study concludes by emphasizing the potency of IoT, microcontrollers, and sensor technologies within home automation systems, particularly in ensuring safety. The experimental results prove that the CNN has better accuracy than SVM for face recognition and intelligent home automation system. [ABSTRACT FROM AUTHOR]
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- 2024
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7. Smart home control using raspberry pi and telegram.
- Author
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Sai Sri Teja, G., Adhitya Venkata Sai, M., Revanth Chowdary, V., Aswin Kumer, S. V., Mohan, E., and Udayakumar, Sridhar
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RASPBERRY Pi , *SMART homes , *HOUSEHOLD appliances , *HOME automation , *HOME wireless technology , *INTERNET servers , *CELL phones - Abstract
In this paper, we are going to discuss about smart home control of our home appliances using telegram bot. As technology arises, we are going into smarter world and daily new technologies are invented Smart home automation can be done through so many ways like webservers and websites but now we are trying it using telegram application which is available in windows and android mobile phones. In this project, we are going to use both manual and automated controls for our home appliances to control anywhere form world. We will install a package in raspberry pi through that we can run our home appliances anywhere form world. This can be done using raspberry pi, we can also use other microcontrollers, but we are performing the home automation in raspberry pi version 3 board. This decreases manpower to manually switching the appliances and it also helps people saving electricity as through an application we can control whole home appliances in our homes. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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8. IoT based home automation using Blynk cloud.
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Naik, J. Chetan, Deeksha, B. S., Girish, H., Kashetty, Gurusharan, Shivapanchakshari, T. G., and Polakam, Manohar Sai
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HOME automation , *OFFICE environment , *INTERNET of things , *WORKPLACE management , *ACCESS control , *INTERNET servers - Abstract
This project depicts a cost-efficient, adaptable system for home and workplace management and monitoring system. Node-MCU ESP8266 has an micro-web server embedded into it with WiFi module, and we have used the Blynk app for cloud connectivity and enabling remote access for control of appliances from anywhere on the planet. The devices can be controlled using Blynk Android application or the cloud platform. Comparing with similar design, this design does not require a dedicated device for its management but provides an optimal monitoring and controlling system for home and office environment that too, not just with switching capability. Most commonly used equipment like tube-light, power systems, and senso1rs for temperature, gas and motion are combined with the proposed cloud-based automation system to show how feasible and effective it is. As the outcome of this project, the project was successfully developed and implemented in real time. [ABSTRACT FROM AUTHOR]
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- 2024
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9. Application of machine learning algorithms in a smart home design.
- Author
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Kasanagottu, Srinivas, Karre, Ravikiran, and Kumaraswamy, Eelandula
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SMART homes , *COMPUTER architecture , *PERSONAL computers , *HOME automation , *TEMPERATURE control - Abstract
A home automation structure controls temperature, lighting, regular media plans, and contraptions. Since these contraptions and sensors are associated with typical establishment, they structure the Internet of Things. A home automation structure joins different controllable devices to a unified server. These automations have a UI for the purpose of seeing and controlling, which can be gotten to by using a tablet or an adaptable application device. Ideally, anything that can be associated with an alliance can be modernized and controlled from a respectable way. Adroit homes ought to be deceitfully astute systems that need to change considering client rehearses and ecological parts. This automation must observe and verify the customer's requirements, check the state of the intersection, and predict another execution. Traditional home computer architectures that essentially provide wireless access and control are not as compelling as "intelligent." As such, this article proposes using various AI development ideas close to PC vision to create dazzling, learning, robotized structures that shape the control of light. And so is the sound. [ABSTRACT FROM AUTHOR]
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- 2024
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10. Energy efficiency analysis: A household digital transformation
- Author
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Gunnar Lima, Andreas Nascimento, Marcelo P. Oliveira, and Fagner L. G. Dias
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energy efficiency ,energy optimization ,iot ,internet of things ,smart home ,home automation ,Production of electric energy or power. Powerplants. Central stations ,TK1001-1841 ,Renewable energy sources ,TJ807-830 - Abstract
Nowadays, the increased demand for energy and electrification associated with higher production costs from renewable and cleaner sources has driven up prices, impacting the industrial, commercial, and residential sectors. With a direct influence on the development of these economic sectors, its direct and indirect impacts to products and services have become important to find more efficient ways and best practices on energy use to support sustainable development. Aiming to shed light on this topic, and how individuals and society behave in this energy market transformation, this article explores opportunities for reducing electricity consumption through the use of modern technologies, such as of monitoring, optimization, automation, and adjustment of routines. At the same time, it is also our intention to bring to the surface a discussion around the rational use of everyday resources and raising the awareness of its impact to individuals and institutions. At its core, this work consists of continuous data collection of single devices and equipment in regard to status, energy consumption, and other relevant data of a typical household. Through behavioral changes and introduction of smart home automation techniques, it was possible to trace a parallel comparison between different scenarios and their influence on the energy consumption without negative impact to the comfort of individuals. Seeking a continuous improvement approach, extensive iterations were conducted, and it was possible to notice not only an energy efficiency improvement, but at the same time gains in living standards and safety. The significant results observed over subsequent months and years highlight not only practical and financial benefits, but also increased awareness and behavioral changes toward the rational use of electricity in households.
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- 2024
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11. Energy efficiency analysis: A household digital transformation.
- Author
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Lima, Gunnar, Nascimento, Andreas, Oliveira, Marcelo P., and Dias, Fagner L. G.
- Subjects
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STANDARD of living , *DIGITAL transformation , *CONSCIOUSNESS raising , *SMART homes , *ENERGY industries - Abstract
Nowadays, the increased demand for energy and electrification associated with higher production costs from renewable and cleaner sources has driven up prices, impacting the industrial, commercial, and residential sectors. With a direct influence on the development of these economic sectors, its direct and indirect impacts to products and services have become important to find more efficient ways and best practices on energy use to support sustainable development. Aiming to shed light on this topic, and how individuals and society behave in this energy market transformation, this article explores opportunities for reducing electricity consumption through the use of modern technologies, such as of monitoring, optimization, automation, and adjustment of routines. At the same time, it is also our intention to bring to the surface a discussion around the rational use of everyday resources and raising the awareness of its impact to individuals and institutions. At its core, this work consists of continuous data collection of single devices and equipment in regard to status, energy consumption, and other relevant data of a typical household. Through behavioral changes and introduction of smart home automation techniques, it was possible to trace a parallel comparison between different scenarios and their influence on the energy consumption without negative impact to the comfort of individuals. Seeking a continuous improvement approach, extensive iterations were conducted, and it was possible to notice not only an energy efficiency improvement, but at the same time gains in living standards and safety. The significant results observed over subsequent months and years highlight not only practical and financial benefits, but also increased awareness and behavioral changes toward the rational use of electricity in households. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
12. Implementation and Evaluation of a Home Automation System Using Multi-Sensor Integration.
- Author
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Arslan, Muhammad, Arif Qureshi, Muhammad Abdullah, Sarwar, Umair, and Akbari, Akbar Sheikh
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HOME automation ,MOTION detectors ,ENERGY consumption ,MICROCONTROLLERS ,MOTION capture (Human mechanics) ,TEMPERATURE control - Abstract
The integration of home automation systems has become increasingly prevalent, driven by advancements in sensor technologies and microcontroller capabilities. This paper presents the design, implementation, and evaluation of a comprehensive home automation system utilizing various sensors and control mechanisms. The system includes motion detectors, thermal sensors, presence sensors, light sensors, and devices such as fans and lighting systems. The effectiveness of the system in enhancing energy efficiency, comfort, and convenience is evaluated based on its real-world performance. [ABSTRACT FROM AUTHOR]
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- 2024
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13. VLC modulation techniques in home automation system using light emitting diodes for data transmission.
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Vijayalakshmi, B. Anitha, Kumar, A. Senthil, Kavitha, V., and Nesasudha, M.
- Abstract
In modern homes, the home automation is more preferable to ensure safety and security. Lots of devices can be interconnected in home automation through wireless technologies. The overhead of data communication increases with increasing data transmission through local wireless network like wireless fidelity from the devices used in indoors. Spatial reprocess is not able to meet the current needs with accumulative traffic demand in existing communication technique. The paper focuses the need of visible light communication in future era in home automation system. The sustainable materials in light emitting diodes requires less power than normal forms of lightning. It consumes less energy and impacts positive effect in the environment. Also it has reduced emission effect and supports eco-friendly environment. The proposed work is the usage of Light Fidelity (Li-Fi) with unipolar OFDM (DC biased Optical OFDM (DCO-OFDM)) method to support data transmission with enhanced Signal to Noise Ratio (SNR), data rate and reduced Bit Error Rate (BER) in the home automation system. [ABSTRACT FROM AUTHOR]
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- 2024
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14. Design and Experimental Results of an AIoT-Enabled, Energy-Efficient Ceiling Fan System.
- Author
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Khan, Hashim Raza, Ahmed, Wajahat, Masud, Wasiq, Alam, Urooj, Arshad, Kamran, Assaleh, Khaled, and Qazi, Saad Ahmed
- Abstract
With technological advancements, domestic appliances are leveraging smart technologies for getting smarter through learning from their past usage to enhance user comfort and energy efficiency. Among these, ceiling fans, though widely used in Lower- and Middle-Income Countries (LMICs) in temperate regions, still lack a cohesive system integrating all necessary sensors with a machine learning-based system to optimize their operation for comfort and energy saving and to experimentally verify the performance under different usage scenarios that could transform a high-power-consuming device into an energy-efficient system. Therefore, the present research proposes an experimentally verified and energy-efficient Artificial Intelligence of Things (AIoT)-based system that could be retrofitted with regular DC ceiling fans. An Internet of Things (IoTs) circuit, equipped with an ESP8266 microcontroller, temperature, humidity, and motion sensors, was designed to communicate with a developed Android application and an online dashboard. A total of 123 ceiling fans with the designed IoTs circuit were deployed at various household locations for two years, with manual operations for the first year. In the next year, an auto mode based on the predictions of the machine learning model was introduced. The experimental outcomes showed that the fan with added smart features reduced the energy loss by almost 50% as compared to conventional AC ceiling fans. Consequently, the carbon footprint of the appliances is reduced significantly. A high user-rated acceptability of the system, examined through a standard measure, was also achieved. [ABSTRACT FROM AUTHOR]
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- 2024
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15. Designing Home Automation Routines Using an LLM-Based Chatbot.
- Author
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Giudici, Mathyas, Padalino, Luca, Paolino, Giovanni, Paratici, Ilaria, Pascu, Alexandru Ionut, and Garzotto, Franca
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CHATBOTS ,HOME automation ,LANGUAGE models ,DOMESTIC architecture ,SMART homes ,ENERGY consumption - Abstract
Without any more delay, individuals are urged to adopt more sustainable behaviors to fight climate change. New digital systems mixed with engaging and gamification mechanisms could play an important role in achieving such an objective. In particular, Conversational Agents, like Smart Home Assistants, are a promising tool that encourage sustainable behaviors within household settings. In recent years, large language models (LLMs) have shown great potential in enhancing the capabilities of such assistants, making them more effective in interacting with users. We present the design and implementation of GreenIFTTT, an application empowered by GPT4 to create and control home automation routines. The agent helps users understand which energy consumption optimization routines could be created and applied to make their home appliances more environmentally sustainable. We performed an exploratory study (Italy, December 2023) with N = 13 participants to test our application's usability and UX. The results suggest that GreenIFTTT is a usable, engaging, easy, and supportive tool, providing insight into new perspectives and usage of LLMs to create more environmentally sustainable home automation. [ABSTRACT FROM AUTHOR]
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- 2024
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16. Efficient and Secure IoT Based Smart Home Automation UsingMulti-Model Learning and Blockchain Technology.
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Alturki, Nazik, Alharthi, Raed, Umer, Muhammad, Saidani, Oumaima, Alshardan, Amal, Alhebshi, Reemah M., Alsubai, Shtwai, and Bashir, Ali Kashif
- Subjects
SMART homes ,HOME automation ,HOME wireless technology ,BLOCKCHAINS ,CONVOLUTIONAL neural networks ,INTERNET of things ,CYBERTERRORISM - Abstract
The concept of smart houses has grown in prominence in recent years. Major challenges linked to smart homes are identification theft, data safety, automated decision-making for IoT-based devices, and the security of the device itself. Current home automation systems try to address these issues but there is still an urgent need for a dependable and secure smart home solution that includes automatic decision-making systems and methodical features. This paper proposes a smart home system based on ensemble learning of random forest (RF) and convolutional neural networks (CNN) for programmed decision-making tasks, such as categorizing gadgets as "OFF" or "ON" based on their normal routine in homes. We have integrated emerging blockchain technology to provide secure, decentralized, and trustworthy authentication and recognition of IoT devices. Our system consists of a 5V relay circuit, various sensors, and a Raspberry Pi server and database for managing devices. We have also developed an Android app that communicates with the server interface through an HTTP web interface and an Apache server. The feasibility and efficacy of the proposed smart home automation system have been evaluated in both laboratory and real-time settings. It is essential to use inexpensive, scalable, and readily available components and technologies in smart home automation systems. Additionally, we must incorporate a comprehensive security and privacy-centric design that emphasizes risk assessments, such as cyberattacks, hardware security, and other cyber threats. The trial results support the proposed system and demonstrate its potential for use in everyday life. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
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17. Automatic Home with The Nodemcu Esp8266 and The Blynk Apps.
- Author
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Sanjusha, V., Reddy, T. Vinay, Manasa, S., and kumar, G. Sravan
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INTERNET access ,SMART homes ,REMOTE control ,HOME automation ,INTERNET of things - Abstract
With advancement of Automation technology, life is getting simpler and easier in all aspects. In today's world Automatic systems are being preferred over manual system. With the rapid increase in the number of users of internet over the past decade has made Internet a part and parcel of life, and IoT is the latest and emerging internet technology. Internet of things is a growing network of everyday object-from industrial machine to consumer goods that can share information and complete tasks while you are busy with other activities. Wireless Home Automation system (HAS) using IoT is a system that uses computers or mobile devices to control basic home functions and features automatically through internet from anywhere around the world, an automated home is sometimes called a smart home. It is meant to save the electric power and human energy. The home automation system differs from other system by allowing the user to operate the system from anywhere around the world through internet connection. In this paper we present a Home Automation system (HAS) using Blynk Community that employs the integration of cloud networking, wireless communication, to provide the user with remote control of various lights, fans, and appliances within their home and storing the data in the cloud. The system will automatically change on the basis of sensors data. This system is designed to be low cost and expandable allowing a variety of devices to be controlled. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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18. Enabling End-User Development in Smart Homes: A Machine Learning-Powered Digital Twin for Energy Efficient Management.
- Author
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Cotti, Luca, Guizzardi, Davide, Barricelli, Barbara Rita, and Fogli, Daniela
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DIGITAL twins ,SMART homes ,COMPUTERS ,ENERGY management ,HOME automation ,ENERGY consumption ,END users (Information technology) - Abstract
End-User Development has been proposed over the years to allow end users to control and manage their Internet of Things-based environments, such as smart homes. With End-User Development, end users are able to create trigger-action rules or routines to tailor the behavior of their smart homes. However, the scientific research proposed to date does not encompass methods that evaluate the suitability of user-created routines in terms of energy consumption. This paper proposes using Machine Learning to build a Digital Twin of a smart home that can predict the energy consumption of smart appliances. The Digital Twin will allow end users to simulate possible scenarios related to the creation of routines. Simulations will be used to assess the effects of the activation of appliances involved in the routines under creation and possibly modify them to save energy consumption according to the Digital Twin's suggestions. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
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19. Desarrollo de un sistema para el monitoreo de recursos hídricos en el hogar.
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Fonseca-Revelo, Jorge-Esteban, Fonseca-Revelo, Juan-Camilo, and Cerón-Correa, Alexander
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RESIDENTIAL water consumption , *WATER management , *NATURAL resources management , *ARTIFICIAL intelligence , *FLOW sensors , *FOOTPRINTS - Abstract
The efficient management of natural resources such as water is necessary to ensure an optimized use. Water is an indispensable resource for life, and it is at risk of becoming scarce. Although public utility companies provide information about a household's consumption, it is insufficient to identify and prevent each person's excessive consumption. Therefore, the main objective of this article is to propose a household water consumption monitoring system using flow sensors and to present it to the user in a friendly and efficient manner by means of an app based on the advances of the Internet of Things. The collected information, presented in a format that is easy to understand, is a clarifying resource for users and allows them to make informed decisions and take measures aimed at reducing their environmental footprint. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
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20. Integration of Smart Home and Building Automation Systems in Virtual Reality and Robotics-Based Technological Environment for Neurorehabilitation: A Pilot Study Protocol.
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Federico, Sara, Zitti, Mirko, Regazzetti, Martina, Dal Pozzo, Enrico, Cieślik, Błażej, Pomella, Alberto, Stival, Francesca, Pirini, Marco, Pregnolato, Giorgia, and Kiper, Pawel
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SMART homes , *HOME automation , *VIRTUAL reality , *NEUROREHABILITATION , *VIRTUAL reality therapy , *INTELLIGENT buildings - Abstract
Technological innovation has revolutionized healthcare, particularly in neurological rehabilitation, where it has been used to address chronic conditions. Smart home and building automation (SH&BA) technologies offer promising solutions for managing chronic disabilities associated with such conditions. This single group, pre-post longitudinal pilot study, part of the H2020 HosmartAI project, aims to explore the integration of smart home technologies into neurorehabilitation. Eighty subjects will be enrolled from IRCCS San Camillo Hospital (Venice, Italy) and will receive rehabilitation treatment through virtual reality (VR) and robotics devices for 15 h per day, 5 days a week for 3 weeks in the HosmartAI Room (HR), equipped with SH&BA devices measuring the environment. The study seeks to optimize patient outcomes and refine rehabilitation practices. Findings will be disseminated through peer-reviewed publications and scientific meetings, contributing to advancements in neurological rehabilitation and guiding future research. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
21. A scoping review to explore the health, social and economic outcomes of home automation for people with disability.
- Author
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Cleland, Jenny, Hutchinson, Claire, Williams, Patricia A. H., Manuel, Kisani, and Laver, Kate
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COMPETENCY assessment (Law) , *SAFETY , *INDEPENDENT living , *AUTONOMY (Psychology) , *COST effectiveness , *LONG-term health care , *HOME environment , *EVALUATION of medical care , *DESCRIPTIVE statistics , *INTELLECTUAL disabilities , *ASSISTIVE technology , *SYSTEMATIC reviews , *LITERATURE reviews , *QUALITY of life , *AUTOMATION , *SOCIAL support , *PEOPLE with disabilities , *MEDICAL care costs , *ACTIVITIES of daily living - Abstract
People with disability often require long-term care. Long-term care is changing with the availability and advances in cost and function of technologies, such as home automation. Home automation has the potential to reduce paid carer hours and can potentially offer many benefits to people with a disability. The aim of this scoping review is to identify the health, social and economic outcomes experienced by people living with a disability who use home automation. Two electronic databases were searched by title and abstract to identify international literature that describes home automation experiences from the perspectives of people with disability. A thematic approach was taken to synthesise the data to identify the key outcomes from home automation. The review identified 11 studies reporting home automation outcomes for people living with a disability. Seven outcomes were associated with home automation: independence, autonomy, participation in daily activities, social and community connectedness, safety, mental health, and paid care and informal care. Advances in technology and changes in funding to support people living with a disability have made access to home automation more readily available. Overall, the study findings showed that there is a range of potential benefits of home automation experienced by individuals living with a disability. A wide range of outcomes have been evaluated following the installation of home automation systems for people with disability. Key outcomes evaluated to date include independence, autonomy, participation, safety, mental health, and reduced need for paid carers. Outcomes of home automation appear to be connected; for example, improved participation may lead to improved mental health. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
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22. Design of smart assistive device for elderly people based on home automation using Wi-Fi module compared with bluetooth based device.
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Krishna, A. Venkata Vamsi and Bhavani, N. P. G.
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OLDER people , *WIRELESS Internet , *HOME automation , *ASSISTIVE technology , *SMART devices , *MOBILE apps , *HOUSEHOLD appliances , *OLDER patients - Abstract
The primary focus of this study is a novel home-automation-based assistance gadget for the elderly. Using the Arduino IDE and a Wi-Fi module (10 examples) and a Bluetooth-based approach (10 samples) to create a novel assistive gadget for the elderly. G power=0.8 is the value determined for the study's parameter. By providing inputs using the Blynk mobile app, the wi-fi module will then send a signal to a relay, which will then operate the desired home appliances. When p is less than 0.05, it's significant. Devices using a wi-fi module have an average range of 35.10 metres, while those using Bluetooth have an average range of 25.00 metres. It's safe to say that the mean distance of the wi-fi based gadget is much greater than that of the bluetooth based device. Using the blynk app and the wi-fi module, you may command a wide variety of household gadgets simply by entering command codes. The gadgets that use Wi-Fi modules have shown to be much more effective than their Bluetooth counterparts. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
23. IoT based home automation and security using Google assistant.
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Maddileti, Telugu, Kotthuru, Anil Kumar, and Lakshmi, A. Jaya
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HOME automation , *HOME security measures , *INTERNET of things , *PERSONAL computers , *SMART homes , *HOME wireless technology , *INTELLIGENT personal assistants - Abstract
NOW DAYS, Comfort is becoming a prime concern in our daily lives. Therefore, the rise of computing and intelligent environment got here into existence. Few innovations such as encircling knowledge satisfy the greatest requirement of the technologically advanced world, but since these developments aren't completely web-integrated, people still require other innovation augmentation. Systems for home automation have generated a tonne of interest as correspondence technology has advanced. The term "smart home" refers to an Internet of Things (IoT) application that uses the Internet to monitor and manage devices utilising a home automation system. In order to automate the operation of home hardware over the internet using Google Assistant voice commands whenever and from anywhere, a model is constructed with the aid of an algorithm. The modern prototype uses an embedded Node-MCU and Arduino Nano ATmega328P micro controllers with onboard Wi-Fi guard. It employs all of the electrically connected home equipment in the home to be automated and updates the Blynk app with their data. The Blynk application on users' smart phones over the Internet allows access to the data collected from a number of sensors (Ultrasonic, temperature, humidity, gas, fire, and Electro Magnetic Door Sensor), regardless of the users' location. The Node-MCU is connected to home appliances using a pair of relays, and the action of the relays is controlled by voice commands through the use of Google Assistant. IoT home with voice command and Google Assistant is a low-effort and reliable automation device that can extensively provide accommodation, security, and assurance for residents of smart homes with an intuitive user interface for mobile devices and personal computers. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
24. Automation of smart home for well being of individual using face detection and recognition.
- Author
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Batra, Neera, Goyal, Sonali, Kaur, Amandeep, and Gupta, Divya
- Subjects
- *
WELL-being , *HUMAN facial recognition software , *SMART homes , *INDEPENDENT component analysis , *HOME automation , *LIVING alone , *FACE - Abstract
This work designs Face detection and recognition system to provide security to an individual living alone at home. Enhancement and improvement of this complete system is done by joining two algorithms Principle Component Analysis and Independent Component Analysis and the combination of these algorithms i.e. PICA is used for feature extraction. Firstly, the image of a person is acquired using camera, then face detection is done based on template matching and face recognition is done by Feed Forward Neural Network. This improved version of Face Recognition is combined with improved version of Voice Recognition to identify a person and to provide more secure environment to an individual living alone at home. In Voice Recognition, RASTA-Perceptual Linear Prediction with Mel Frequency Cepstal Coefficient module is used and for Face Recognition, PCA with ICA algorithms is used. There are two steps in this: if Face is recognised successfully of a person, then Voice will be recognised, if both are recognised accurately for an individual then access will be granted otherwise if any one parameter is not recognised properly then we calculate the similarity index of that individual and if it shows the value greater than 75% then only permission will be granted else the person will be declared as unknown person. This combined approach of Face Recognition with Voice Recognition performs better than previous approaches and the experiments we perform give results with 98.99% accuracy by using number of images. All the information will be send to mobile phone of family members by using MATLAB tool and Internet Dongle. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
25. A low-cost smart home automation for elderly who has alzheimer's or age-related memory loss
- Author
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Ay, Ayse Nur, Cokacar, Baris, and Turkmen, Ibrahim
- Published
- 2022
26. Using Answer Set Programming for Integrity Maintenance in a Smart Home System
- Author
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Wenzel, Mario, Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Kirrane, Sabrina, editor, Šimkus, Mantas, editor, Soylu, Ahmet, editor, and Roman, Dumitru, editor
- Published
- 2024
- Full Text
- View/download PDF
27. AR-Driven Smart Homes: Enhancing Automation and User Experience
- Author
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Krishna, Aayush, Brindha, V., Mishra, Aditya, Uthaman, Karthik, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Abraham, Ajith, editor, Bajaj, Anu, editor, Hanne, Thomas, editor, Siarry, Patrick, editor, and Ma, Kun, editor
- Published
- 2024
- Full Text
- View/download PDF
28. Sustainability and Home Automation: The Case of Repairing or Replacing Vacuum Cleaners
- Author
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Hertzum, Morten, Hartmanis, Juris, Founding Editor, Goos, Gerhard, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Bramwell-Dicks, Anna, editor, Evans, Abigail, editor, Winckler, Marco, editor, Petrie, Helen, editor, and Abdelnour-Nocera, José, editor
- Published
- 2024
- Full Text
- View/download PDF
29. An Investigation on Internet of Things (IoT) Technology in Smart Homes
- Author
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Nkeshimana, Carmel, Kwiringira, Tumusiime, Kesi, Amuki Joseph, Sinde, Ramadhani, Marx Gómez, Jorge, editor, Elikana Sam, Anael, editor, and Godfrey Nyambo, Devotha, editor
- Published
- 2024
- Full Text
- View/download PDF
30. Home Automation System for People with Visual Impairment Controlled by Neural Frequencies
- Author
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Pozo-Carrillo, Cristian, Michilena-Calderón, Jaime, Cuzme-Rodríguez, Fabián, Vásquez-Ayala, Carlos, Farinango-Endara, Henry, Flores-Armas, Stefany, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Vizuete, Marcelo Zambrano, editor, Botto-Tobar, Miguel, editor, Casillas, Sonia, editor, Gonzalez, Carina, editor, Sánchez, Carlos, editor, Gomes, Gabriel, editor, and Durakovic, Benjamin, editor
- Published
- 2024
- Full Text
- View/download PDF
31. Information Technologies: A Tool for Accident Prevention in Gerontological Patients
- Author
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Kevin, Toapanta, Geremy, Novoa, Josselyn, Solórzano, Mayra, Quilumbaquin, Alejandra, Vallejo, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Vizuete, Marcelo Zambrano, editor, Botto-Tobar, Miguel, editor, Casillas, Sonia, editor, Gonzalez, Carina, editor, Sánchez, Carlos, editor, Gomes, Gabriel, editor, and Durakovic, Benjamin, editor
- Published
- 2024
- Full Text
- View/download PDF
32. Smart IoT Devices: An Efficient and Elegant Revolution Using Smart Switches
- Author
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Rao, Annam Takshitha, Kumar, Aman, Choudhary, Rupali, Kanjia, Khush, Dhumane, Amol, Zade, Nilima, Deokar, Shubhangi, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Senjyu, Tomonobu, editor, So–In, Chakchai, editor, and Joshi, Amit, editor
- Published
- 2024
- Full Text
- View/download PDF
33. STM32-Based Home Automation and Energy Monitoring System with TFT Display
- Author
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Kshirsagar, Naval, Shinde, Sujay, Rajeevan, Akul, Srivastava, Shivam, Harikrishnan, R., Shahane, Priti, Dudam, Shridhar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Senjyu, Tomonobu, editor, So–In, Chakchai, editor, and Joshi, Amit, editor
- Published
- 2024
- Full Text
- View/download PDF
34. Real-Time Data and Analytics on Building Management System to Control Energy Consumption
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Dhaigude, Rahul, Chanda, Ruby, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kaiser, M. Shamim, editor, Xie, Juanying, editor, and Rathore, Vijay Singh, editor
- Published
- 2024
- Full Text
- View/download PDF
35. KNXsim: Simulator Tool for KNX Home Automation Training by Means of Group Addresses
- Author
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Gómez-Pulido, Juan A., Garcés-Jiménez, Alberto, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Guisado-Lizar, José-Luis, editor, Riscos-Núñez, Agustín, editor, Morón-Fernández, María-José, editor, and Wainer, Gabriel, editor
- Published
- 2024
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- View/download PDF
36. A Firebase-Based Smart Home Automation System Using IoT
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Goyal, Pramod Kumar, Verma, Saurabh, Giri, Moksh, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Shaw, Rabindra Nath, editor, Siano, Pierluigi, editor, Makhilef, Saad, editor, Ghosh, Ankush, editor, and Shimi, S. L., editor
- Published
- 2024
- Full Text
- View/download PDF
37. Android Application-Based Security Surveillance Implementing Machine Learning
- Author
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Das, Henakshi, Meher, Preetisudha, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Tan, Kay Chen, Series Editor, Borah, Malaya Dutta, editor, Laiphrakpam, Dolendro Singh, editor, Auluck, Nitin, editor, and Balas, Valentina Emilia, editor
- Published
- 2024
- Full Text
- View/download PDF
38. Enhancing IOT security: Proactive phishing website detection using Deep Neural Networks case study: smart home
- Author
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Bouijij, Habiba and Berqia, Amine
- Published
- 2024
39. Dynamic Context-Aware Recommender System for Home Automation Through Synergistic Unsupervised and Supervised Learning Algorithms
- Author
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Tahar Dilekh, Saber Benharzallah, Ayoub Mokeddem, and Saoueb Kerdoudi
- Subjects
association rule ,generalized linear model ,machine learning ,predictive models ,recommender systems ,context-aware services ,home automation ,Electronic computers. Computer science ,QA75.5-76.95 - Abstract
Home automation, supported by smart devices and the internet of things, works to enhance household control. However, the reliance on current systems with fixed rules poses challenges, which can be inflexible and anxiety-provoking for users who want control over their smart home devices, limit responsiveness to changing conditions and affect energy efficiency, comfort and security. To address this, the paper proposes a dynamic personalized recommender system that considers the user's current state and contextual preferences to suggest relevant automation services for smart home devices. The system uses an unsupervised algorithm to extract rules from past interactions and supervised algorithms to make recommendations based on those rules. The proposed context-aware recommender system for smart homes achieved a remarkable average accuracy of 86.99%, a recall of 76.06% and a precision of 82.67% on publicly available datasets, surpassing previous studies. It offers users an enhanced quality of life, energy efficiency and cost reduction, while providing service providers with increased engagement and valuable insights.
- Published
- 2024
- Full Text
- View/download PDF
40. Development and Assessment of Internet of Things-Driven Smart Home Security and Automation with Voice Commands
- Author
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Paniti Netinant, Thitipong Utsanok, Meennapa Rukhiran, and Suttipong Klongdee
- Subjects
home automation ,home security system ,Internet of Things ,intruder detection ,PIR sensor ,smart home ,Computer software ,QA76.75-76.765 ,Technology ,Cybernetics ,Q300-390 - Abstract
With the rapid rise of digitalization in the global economy, home security systems have become increasingly important for personal comfort and property protection. The collaboration between humans, the Internet of Things (IoT), and smart homes can be highly efficient. Interaction considers convenience, efficiency, security, responsiveness, and automation. This study aims to develop and assess IoT-based home security systems utilizing passive infrared (PIR) sensors to improve user interface, security, and automation controls using voice commands and buttons across different communication protocols. The proposed system incorporates controls for lighting and intrusion monitoring, as well as assessing both the functionality of voice commands and the precision of intruder detection via the PIR sensors. Intelligent light control and PIR intruder detection with a variable delay time for response detection are unified into the research methodology. The test outcomes examine the average effective response time in-depth, revealing performance distinctions among wireless fidelity (Wi-Fi) and fourth- and fifth-generation mobile connections. The outcomes illustrate the reliability of voice-activated light control via Google Assistant, with response accuracy rates of 83 percent for Thai voice commands and 91.50 percent for English voice commands. Moreover, the Blynk mobile application provided exceptional precision regarding operating light-button commands. The PIR motion detectors have a one hundred percent detection accuracy, and a 2.5 s delay is advised for PIR detection. Extended PIR detection delays result in prolonged system response times. This study examines the intricacies of response times across various environmental conditions, considering different degrees of mobile communication quality. This study ultimately advances the field by developing an IoT system prepared for efficient integration into everyday life, holding the potential to provide improved convenience, time-saving effectiveness, cost-efficiency, and enhanced home security protocols.
- Published
- 2024
- Full Text
- View/download PDF
41. Data Communication Over Power-lines: A Review on Technical, and Applications Challenges.
- Author
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Abdalla, Abdi T., Ibwe, Kwame S., Gadiel, Godwin Mruma, and Ally, Abdullah F.
- Subjects
- *
DATA transmission systems , *BROADBAND communication systems , *INTERNET telephony , *HOME automation , *SIGNAL processing - Abstract
This paper presents a review study on the data communication over power-lines, commonly referred to as power-line carrier, power-line communication (PLC), mains communications, or power-line digital subscriber line (PDSL). This study examines the technical and application advantages and challenges associated with adopting PLC as a preferred alternative technology for wideband or broadband data communication. The broader coverage area of the PLC network gives it a distinct advantage over other communication network technologies. Additionally, implementing a communication system using the existing power-line network is more cost-effective and less time-consuming compared to constructing a new network from scratch. However, the primary challenge lies in the fact that the power-line network is primarily designed for the distribution of electrical power within the frequency range of 50-60 Hz including the harmonics. This poses various obstacles such as electrical noise from appliances, signal distortions caused by the unregulated nature of the wiring, transformer bypassing, interference from high-frequency modulation, and variations in characteristic impedances, among others. Despite these challenges, the emergence of robust modulation techniques like Orthogonal Frequency Division Multiplexing (OFDM) and Direct-Sequence Spread Spectrum (DSSS), along with the development of Application-Specific Integrated Circuit (ASIC) density with improved processing speeds, as well as advancements in signal processing and error control coding techniques, have made the PLC network the most promising telecommunications access network. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
42. Smart home automation technology to support caring of individuals with Alzheimer's disease and related dementia: an early intervention framework.
- Author
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Arthanat, Sajay, Wilcox, John, and LaRoche, Dain
- Subjects
- *
ELDER care , *ALZHEIMER'S disease , *EARLY medical intervention , *PATIENT safety , *SELF-efficacy , *RESEARCH funding , *INTERVIEWING , *HOME environment , *PATIENT care , *COST benefit analysis , *GOAL (Psychology) , *FAMILY relations , *DESCRIPTIVE statistics , *BURDEN of care , *THEMATIC analysis , *PRE-tests & post-tests , *RESEARCH methodology , *DEMENTIA , *AUTOMATION , *INTERPERSONAL relations , *INTERNET of things - Abstract
Home automation technology comprising of Internet of Things and Smart gadgets is a rapidly growing industry that is projected to have a major scope for ageing-in-place and caregiving. This study examined the feasibility and cost-benefits of a personalized home automation intervention for care of individuals with Alzheimer's disease and related dementia (ADRD) with emphasis on their safety and independence, and reduction of care burden. A mixed method intervention study was conducted with five dyads each comprising of a caregiver and care recipient with ADRD. Each dyad received personalized home automation intervention with individualized goals centred on home safety, activity engagement, and caregiver-recipient connectivity. The goals were created and monitored using goal attainment scaling (GAS). The dyads were followed up after three months with a home visit and interview. Goal attainment scoring and thematic analysis of the interviews were conducted to examine the findings from the study. All dyads indicated positive goal attainment between pre and post intervention. Goals that were met were complimented by the categories of peace of mind, self-efficacy, and care recipient engagement, while unmet goals as well as complexities with the technology were elucidated under challenges. Overarching and conceptually linked themes from the study were unfamiliarity, value, and timing. Home automation technology has the potential to be adapted to promote independence and safety of individuals with ADRD while relieving care burden. Nonetheless, we propose an early intervention framework to overcome identified challenges and optimize the technology's usability and sustainability. Home automation involving Internet of Things and Smart gadgets has gained rapid popularity owing to the comfort and connectivity they provide to mainstream consumers. The technology has an emerging significance to ageing-in-place and care of individuals with Alzheimer's Disease and Related Dementia (ADRD) as it can be adapted and implemented to enhance home safety and activity engagement of the care recipients while also strengthening their connectivity with the caregivers. Unfamiliarity with the technology compounded by the progression of ADRD can, however, be detrimental to its adoption. Individualized focus and early integration of the technology for caregiver-care recipient dyads can mitigate these challenges and optimize its usability and long-term value in relation to ageing-in-place and caregiver wellbeing. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
43. How to Keep Balance between Interaction and Automation? Toward User Overall Positive Experience of IoT-Based Smart Home Design.
- Author
-
Xu, Huayuan, Lee, Hyemin, Ling, Weijie, and Pan, Younghwan
- Subjects
SMART homes ,DOMESTIC architecture ,INTERACTION design (Human-computer interaction) ,USER experience ,AUTOMATION ,HOME automation ,INTERNET of things - Abstract
Advances in Internet of Things (IoT) technologies have had a profound impact on the experiential tasks of the smart home, particularly automated tasks supported by sensors, embedded systems, and communication devices that are capable of autonomously performing a range of tasks previously performed by humans. However, the improvement in the level of smart home automation has not necessarily promoted more meaningful, relaxing, and positive experiences for users. This is largely due to the fact that it often overlooks the meaningful involvement of humans in the process. This paper proposes a conceptual design model for a smart home through two studies that aim to maintain the benefits of automation while ensuring positive experiences with user engagement tasks. Study 1 involved qualitative data using semi-structured interviews to understand what tasks lead to positive user experiences (P-UX) during the use of the smart home and what kind of factors influence these positive experiences. Study 2, using an online questionnaire, quantitatively investigated the varying impact of these factors on positive experiences in both automation and human–machine interactions. The results of both studies show that there are nine factors that influence positive user experience in the smart home, with instrumentality, convenience, and flexibility playing an important role in the positive experience of automation, aesthetics, immersion, association, and memory, having a greater effect on the positive experience of user engagement in interactions, and customization and emotion contributing to both paradigms. In future smart home design, this model will help designers rationally allocate tasks between automation and human–machine interaction as a way to enhance the overall positive user experience. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
44. The Effects of Home Automation on Personal and Social Autonomies in Spinal Cord Injury Patients: A Pilot Study.
- Author
-
Maresca, Giuseppa, Latella, Desirèe, Formica, Caterina, Veneziani, Isabella, Ielo, Augusto, Quartarone, Angelo, Calabrò, Rocco Salvatore, and De Cola, Maria Cristina
- Subjects
- *
AUTONOMY (Psychology) , *SPINAL cord injuries , *NEUROREHABILITATION , *HOME automation , *ACTIVITIES of daily living , *NEUROPSYCHOLOGICAL rehabilitation , *FUNCTIONAL independence measure - Abstract
Background: Spinal cord injury (SCI) is a severe and progressive neurological condition caused by trauma to the nervous system, resulting in lifelong disability and severe comorbidities. This condition imposes serious limitations on everyday life, interfering with patients' social lives and compromising their quality of life, psychological well-being, and daily living activities. Rehabilitation is essential to helping SCI patients gain more independence in their daily routines. Home automation (HA) systems provide personalized support to users, allowing them to manage various aspects of their living environment, promoting independence and well-being. This study aims to demonstrate the efficacy of an HA system in enhancing personal and social autonomies in SCI patients, resulting in improved cognitive function and reduced anxiety–depressive symptoms compared to traditional training. Methods: We enrolled 50 SCI patients undergoing neurorehabilitation at IRCCS Centro Neurolesi (Messina, Italy). These patients were randomly assigned to one of two groups: a control group (CG) and an experimental group (EG). The CG received traditional training, while the EG underwent HA training. We evaluated the patients before (T0) and after (T1) rehabilitation using various scales, including the Montreal Cognitive Assessment (MoCA), the Beck Depression Inventory (BDI), the Hamilton Rating Scale for Anxiety (HRS-A), the 12-Item Short-Form Survey (SF-12), the Functional Independence Measure (FIM), Activities of Daily Living (ADL), Instrumental Activities of Daily Living Scale (IADL), and the EQ-5D-5L. Results: The effect of the experimental treatment showed an improvement in all patients test scores in the EG, especially regarding cognitive functions, mood disorders, activities of daily living, and quality of life. Conclusion: Our findings suggest that HA may be effective in improving daily autonomy and, in turn, alleviating mood disorders and enhancing psychological well-being. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
45. Development and Assessment of Internet of Things-Driven Smart Home Security and Automation with Voice Commands.
- Author
-
Netinant, Paniti, Utsanok, Thitipong, Rukhiran, Meennapa, and Klongdee, Suttipong
- Subjects
INTERNET of things ,SMART homes ,AUTOMATION ,DIGITAL technology ,INFRARED detectors - Abstract
With the rapid rise of digitalization in the global economy, home security systems have become increasingly important for personal comfort and property protection. The collaboration between humans, the Internet of Things (IoT), and smart homes can be highly efficient. Interaction considers convenience, efficiency, security, responsiveness, and automation. This study aims to develop and assess IoT-based home security systems utilizing passive infrared (PIR) sensors to improve user interface, security, and automation controls using voice commands and buttons across different communication protocols. The proposed system incorporates controls for lighting and intrusion monitoring, as well as assessing both the functionality of voice commands and the precision of intruder detection via the PIR sensors. Intelligent light control and PIR intruder detection with a variable delay time for response detection are unified into the research methodology. The test outcomes examine the average effective response time in-depth, revealing performance distinctions among wireless fidelity (Wi-Fi) and fourth- and fifth-generation mobile connections. The outcomes illustrate the reliability of voice-activated light control via Google Assistant, with response accuracy rates of 83 percent for Thai voice commands and 91.50 percent for English voice commands. Moreover, the Blynk mobile application provided exceptional precision regarding operating light-button commands. The PIR motion detectors have a one hundred percent detection accuracy, and a 2.5 s delay is advised for PIR detection. Extended PIR detection delays result in prolonged system response times. This study examines the intricacies of response times across various environmental conditions, considering different degrees of mobile communication quality. This study ultimately advances the field by developing an IoT system prepared for efficient integration into everyday life, holding the potential to provide improved convenience, time-saving effectiveness, cost-efficiency, and enhanced home security protocols. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
46. IoT based applications for healthcare and home automation.
- Author
-
Ghoul, Yamna and Naifar, Omar
- Abstract
The Internet of Things (IoT) is a paradigm that involves connecting the virtual world of the Internet to the real world through so-called smart objects. Indeed, Internet of Things (IoT) devices are extensively employed in a wide range of applications, including healthcare field and home automation. These objects are equipped with communication capabilities and can exchange data over the Internet. In recent times, the healthcare sector has witnessed a surge of growth and transformation. The integration of IoT-enabled devices has revolutionized remote monitoring in healthcare, empowering healthcare providers to keep their patients safe and healthy while delivering exceptional care. On the other hand, the home automation system is becoming increasingly popular due to its many benefits, which involve remotely monitoring and controlling household appliances. In fact, the main challenges faced by home automation systems are poor manageability, rigidity, difficulty in achieving security, and high ownership costs. As the internet and its applications continue to grow, there is enormous potential for remotely accessing, controlling and monitoring network-enabled devices. With this context in mind, the objective of this project is to develop two IoT-based models. These models are based on Arduino and Raspberry pi boards, cloud, Bluetooth and ZigBee protocols. The first model is an IoT healthcare system that employs various sensors to collect heart rate and motion data. The second model is a home automation system that utilizes a DHT11 sensor to measure temperature and humidity levels, a MQ2 sensor to detect gas leaks, and an ultrasonic sensor to control the garage door's opening and closing. Both systems are built around an Arduino or a Raspberry pi microcontrollers integrated with an Android mobile application to process and transmit data via Bluetooth or Zigbee ensuring that the mobile app receives real-time updates. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
47. Design and development of arduino-based automation home system using the internet of things.
- Author
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Ajagbe, Sunday Adeola, Adeaga, Oyetunde Adeoye, Alabi, Oluwaseyi Omotayo, Ikotun, Adewale Bashir, Akintunde, Musa A., and Adigun, Matthew O.
- Subjects
INTERNET of things ,HOME automation ,ARDUINO (Microcontroller) ,INDUSTRIAL equipment ,REMOTE control ,INTERNET protocols ,STUDENT response systems - Abstract
The home automation system described in this paper is low-cost, dependable, and versatile. It uses an Arduino microcontroller and Bluetooth internet protocol (IP) connectivity to allow authorized users to remotely access and control devices. The suggested system employs the internet of things (IoT), which is server-independent, to manage human-desired appliances ranging from industrial machinery to consumer products. In this project, we have taken a Bluetooth module that is programmed through an Arduino Nano to control various devices auto-switching of mechanical devices and monitoring of water level within a range of 130 m using an Android application. This is done to show the effectiveness and viability of this system. Each bulb was switched on/off remotely using a mobile phone successfully. The operation of the water pump attached to the source bucket were controlled from the phone while in manual mode and controlled by an ultrasonic sensor while in automatic mode. It enables remote control of a number of devices, including lights and pumps, and decision-making based on sensor feedback. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
48. Cyber security study of "Amazon Echo" in home and organization automation.
- Author
-
Yau, Zakariyya Abubakar, Rahman, Nor Azlina Abd, and Ismail, Noris
- Subjects
- *
AMAZON Echo , *HOME automation , *INTERNET security , *SMART homes , *INTELLIGENT personal assistants , *SMART speakers - Abstract
Smart speakers have the role of a hub for a smart home system because of convenience in controlling IoT devices with a voice command. Therefore, a smart speaker can be a new target for an attacker to infiltrate into the smart home system. As menial helpers today fill in as passage focuses to individuals' homes apparatuses and gadget regulators, getting these focuses has gotten basic, with keeping up the client's protection being first concern. Amazon Echo was launched in 2016 and is not just a savvy speaker yet works as an insightful menial helper which communicates with other different Alexa-empowered gadgets to oversee other IoT gadgets, stay associated, play music and buy books, and put together one's day. Alexa is integrated in both home and organizations to equip with remote management to help closely monitor the lives, activities of both home and organizations, seamless interaction and increasing productivity. Amazon Echo has an application that gives users ability to customize their preferences and control which is called Amazon Alexa App. Users from this app can personalize their preferences. Amazon Alexa is quipped to protect user's privacy through transparency. However, the research had highlighted certain vulnerabilities found on Amazon Echo such as in hardware, software and network and their impacts. The research further described the methods of attacks used by adversaries on these vulnerabilities found. Nevertheless, the research provided with organizational security, operational security, and the methods to deploy to defend and safeguard the automation of an organization or home based on the vulnerabilities discovered. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
49. Comprehensive study of smart home automation techniques.
- Author
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Rathore, Kuldeep Singh, Malhotra, Kavya, Bagga, Gunjan, Jha, Abhishek Kumar, Barman, Debajyoti Roy, and Raj, Akanksha
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SMART homes , *HOME automation , *GSM communications , *USER interfaces , *HOUSEHOLD appliances , *ZIGBEE - Abstract
This paper presented a detailed comparison and analysis between different automation systems for home appliances. The paper contains a extensive literature survey that pulls the comparisons on different parameters viz. controllers, user interface and applications and suggests the foremost effective and efficient smart techniques and technologies like microcontrollers (GSM, Zigbee, and WIFi) that enhances the efficiency and accuracy of the house automation system, Also the paper specifies the evolution of various designs of hardware prototypes that are emerging to make a efficient and cost-effective smart home automation system within the coming recent future. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
50. Review and analysis of different automation techniques for household applications.
- Author
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Rathore, Kuldeep Singh, Raj, Aman, Dixit, Hansika, Harsh, Kumar, and Chaudhary, Sapna
- Subjects
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USER interfaces , *AUTOMATION , *HOUSEHOLDS , *HOUSEHOLD appliances , *ZIGBEE , *HOME automation - Abstract
This paper presented various types of automation techniques for home appliances. The techniques; Bluetooth based controller, Infrared signals based controller, GSM based controller, and Zigbee based controller have been discussed and compared based on the different parameters viz. connectivity, controller, user interface, application area and the merits of the respective technique. The detailed comparison has been included in this paper so that the customers could choose their very own choice of generation to build domestic-automatic device. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
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