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Applying Internet of Things for Personalized Healthcare in Smart Homes
- Source :
- WOCC 2015, 24th Wireless and Optical Communication Conference, WOCC 2015, 24th Wireless and Optical Communication Conference, IEEE, Oct 2015, Taipei, Taiwan, WOCC
- Publication Year :
- 2015
- Publisher :
- HAL CCSD, 2015.
-
Abstract
- International audience; The paper advocates for applying Internet of Things (IoT) for personalized healthcare in smart homes. An IoT architecture is presented which enables such healthcare services. Continuous monitoring of physical parameters and processing of the medical data form the basis of smarter, connected and personalized healthcare. The core functionalities of the IoT architecture are exposed using RESTful web services to the consumers. The main contributions of the paper are: (i) providing a unified approach for discovery, management and interaction with physical devices, (ii) utilizing Machine-to-Machine Measurement (M3) framework to generate high level abstraction from wearable sensors, (iii) combining cross-domain sensor data using M3 and (iv) controlling home automation devices based on health sensor information. Prototype implementations and performance evaluations of the architecture components are discussed.
- Subjects :
- Engineering
Multimedia
business.industry
010401 analytical chemistry
Interoperability
Internet of Things
Wearable computer
020206 networking & telecommunications
02 engineering and technology
computer.software_genre
01 natural sciences
0104 chemical sciences
Metadata
M3 Framework
Smart home
Home automation
0202 electrical engineering, electronic engineering, information engineering
[INFO]Computer Science [cs]
Personalized healthcare
Web service
Architecture
business
Semantic Web
computer
Implementation
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- WOCC 2015, 24th Wireless and Optical Communication Conference, WOCC 2015, 24th Wireless and Optical Communication Conference, IEEE, Oct 2015, Taipei, Taiwan, WOCC
- Accession number :
- edsair.doi.dedup.....f3dd02b9f00a759eac28c88a4d5bb9f1