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Consumers differ in the extent to which brands drive their choices. The current research investigates the psychology underlying such decisions by using a cursor-tracking paradigm that captures consumers' decision-making processes in real time. Results indicate that while consumers typically process brand attributes relatively later than product attributes, the timing of this processing varies across individuals and affects choice. Specifically, when consumers trade off brand and product desirability (i.e., when deciding between a more [less] preferred product from a less [more] preferred brand), the earlier that brand attributes are considered, the more likely consumers are to choose the option from the preferred brand. Increasing the prominence of brand (vs. product) attributes leads to earlier brand attribute processing and a higher likelihood of choosing the preferred brand. These findings hold across a limited number of choice trials and for decisions involving three attributes (brand, product, and price). This research highlights the applicability of cursor tracking in revealing the psychological drivers of consumer choices in real time. [ABSTRACT FROM AUTHOR]

In recent years, the automotive industry has made significant progress in integrating multifunctional sensors to improve vehicle performance, safety, and efficiency. As the number of integrated sensors keeps increasing, there is a growing interest in alternative energy sources. Specifically, self‐powered sensor systems based on energy harvesting are drawing much attention, with a main focus on sustainability and reducing reliance on typical batteries. This paper demonstrates the use of triboelectric nanogenerators (TENGs) in a computer mouse for efficient energy harvesting and in automobile braking systems for safety applications using SrBi2Ta2O9 (SBTO) perovskite, blended PDMS composite operating in free‐standing mode with an interdigitated patterned aluminum electrode. This self‐powered sensor is capable of distinguishing between normal and abnormal braking patterns using digital signal processing techniques. It is noteworthy that the addition of 15% wt. of the SBTO in PDMS composite‐based TENG delivered 13.5 V, 45 nA, and an output power of 0.98 µW. This new combination of energy harvesting and safety applications enables real‐time monitoring and predictive maintenance in the automotive industry. [ABSTRACT FROM AUTHOR]

Detection of stress and the development of innovative platforms for stress monitoring have attracted significant attention in recent years due to the growing awareness of the harmful effects of stress on mental and physical health. Stress is a widespread issue affecting individuals and often goes unnoticed as a health concern. It can lead to various negative physiological conditions, including anxiety, depression, cardiovascular diseases and cognitive impairments. The aim of this paper is to provide an overview of studies focusing on embedded devices for non-invasive stress detection, primarily in the form of a modified computer mouse or keyboard. This study not only fills a critical gap in the literature but also provides valuable insights into the design and implementation of hardware-based stress-detection methods. By focusing on embedded devices, specifically computer peripherals, this research highlights the potential for integrating stress monitoring into everyday workplace tools, thereby offering practical solutions for improving occupational health and well-being. [ABSTRACT FROM AUTHOR]

The automatic recognition and quantitative analysis of abnormal behavior in mice play a crucial role in behavioral observation experiments in neuroscience, pharmacology, and toxicology. Due to the challenging definition of abnormal behavior and difficulty in collecting training samples, directly applying behavior recognition methods to identify abnormal behavior is often infeasible. This paper proposes ABNet, an AI-empowered abnormal action recognition approach for mice. ABNet utilizes an enhanced Spatio-Temporal Graph Convolutional Network (ST-GCN) as an encoder; ST-GCN combines graph convolution and temporal convolution to efficiently capture and analyze spatio-temporal dynamic features in graph-structured data, making it suitable for complex tasks such as action recognition and traffic prediction. ABNet trains the encoding network with normal behavior samples, then employs unsupervised clustering to identify abnormal behavior in mice. Compared to the original ST-GCN network, the method significantly enhances the capabilities of feature extraction and encoding. We conduct comprehensive experiments on the Kinetics-Skeleton dataset and the mouse behavior dataset to evaluate and validate the performance of ABNet in behavior recognition and abnormal motion detection. In the behavior recognition experiments conducted on the Kinetics-Skeleton dataset, ABNet achieves an accuracy of 32.7% for the top one and 55.2% for the top five. Moreover, in the abnormal behavior analysis experiments conducted on the mouse behavior dataset, ABNet achieves an average accuracy of 83.1%. [ABSTRACT FROM AUTHOR]

Usability—the extent to which a system can be operated to achieve specified goals with effectiveness, efficiency, and satisfaction—is a hallmark of many successful systems. Identifying usability concerns with existing measures, however, can be problematic. We use biased competition theory (BCT) to explain how interfaces with low usability create attentional interference, which can be measured through mouse movement efficiency (MME). We tested our hypotheses in four studies. Study 1 manipulates attentional interference and examines its influence on MME using eye tracking to validate BCT as an appropriate theoretical lens for our research. Study 2 manipulates usability and shows similar markers of attentional interference in MME on a website with two different populations. Study 3 is a field test that compares the reliability of MME in ranking the usability of different components of a commercial web application to rankings produced by a common perceptual measure of usability: perceived ease of use. Collaborating with a Fortune 100 software vendor, Study 4 further demonstrates the efficacy of MME in ranking the usability of various system components compared to a standard industry measure of usability across three different products. The results consistently show that MME can help identify usability differences among parts of systems. The results have implications for facilitating more efficient and temporally precise usability research and mass-deployable usability testing. [ABSTRACT FROM AUTHOR]

Electrical devices are integral to daily life, but limited battery life remains a significant issue. A proposed solution is to convert dissipated energy from human motion into electricity using piezoelectric materials. This study investigates lead–zirconate–titanate (PZT) piezoelectric materials in bimorph configuration, conducts performance tests to understand their characteristics and determine the optimal load resistance, and develops an energy-harvesting prototype. Performance tests adjusted input parameters and varied load resistance and input magnitude to optimize power gained from the PZT bimorph. A suitable human movement for the application of the bimorph is a mouse-clicking motion by fingers. A prototype was created by integrating the bimorph into a computer mouse to capture energy from clicks. The results showed that the deformation rate of the PZTs, input magnitude, and resistance load were key factors in optimization. The bimorph configuration produced 0.34 mW of power and 5.5 V at an optimum load of 5072 Ω, requiring less effort to generate electricity. For the computer mouse energy harvester case, it yielded a total average power of approximately 38.4 μW per click with a click frequency of 4 Hz. This power could be used to support IoT devices such as human sensors (e.g., CO2, temperature, and pulse sensors) and smart home sensors, enabling comprehensive health and environmental monitoring. In conclusion, input specifications, magnitude, and load resistance are essential for optimizing piezoelectric energy harvesters. [ABSTRACT FROM AUTHOR]

Emotional distractors capture spatial attention delaying target search more than neutral distractors. The current study investigated whether emotional attention capture occurs automatically by utilizing statistical learning to suppress attention capture. Participants searched for a target while an emotional or neutral distractor appeared at high (suppressed) or low distractor probability (not suppressed) locations. Experiment 1 (56 subjects) measured target detection latency with a keyboard and Experiment 2 (90 subjects) used computer mouse tracking for measuring emotional capture at higher spatial and temporal resolutions. Results showed that emotional capture of spatial attention was able to be suppressed, but at the cost of producing non-spatial time delays. Furthermore, emotional capture that occurred at non-suppressed locations occurred at relatively late temporal stages after movement initiation and were more likely to occur in individuals with high trait anxiety. Overall, the study demonstrates that emotional capture of spatial attention is not strictly automatic. [ABSTRACT FROM AUTHOR]

This study aims to develop an effective screen‐keyboard system from a new perspective of key arrangements. In the proposed screen keyboard system, keys are centralized by arranging them radially, with alphabetical keys arranged based on the articulation for speech production. A gesture input method and click input method are implemented considering the mora‐based Japanese sound system with syllables containing a consonant‐vowel (CV) structure. In a preliminary experiment, the cumulative pixel distances required to press keys for the input sequences were evaluated as a simulation to confirm the basic performance of the keyboard system. The Euclidean pixel distances between the keys on the keyboard images were accumulated and compared between the proposed keyboard system and a typical QWERTY keyboard. Typing experiments involving participants were performed to confirm the effectiveness of the proposed keyboard system. The experimental results reveal that the proposed screen keyboard system enables users to generate efficient typing performances using a computer mouse and eye gaze via short‐term training. © 2024 Institute of Electrical Engineers of Japan and Wiley Periodicals LLC. [ABSTRACT FROM AUTHOR]

Consumer emotions and brand awareness are closely linked to the online advertising experience. Interactivity can enhance consumers' engagement with social media sites and brands. However, there is a lack of research on evaluating consumers' experience in social media interactive campaigns. To address this gap, the study proposes using mouse tracking as an unobtrusive method to collect consumers' behavioural responses while interacting with gamified campaigns. The study involved 21 users who completed two experimental tasks, during which mouse data and explicit self-reported responses about their emotional states, brand awareness, and purchase intent were collected. Thirteen mouse features were calculated, including time between clicks, time between movements, speed, acceleration, total number of clicks, total number of movements, and total number of pauses. The study found that fast movements and a low number of actions were associated with a positive user experience in terms of brand awareness and intention to buy or recommend the product, while slow movements and long or frequent pauses were associated with negative emotions such as stress, frustration, and confusion. The findings indicate that mouse tracking can be a valuable tool for assessing brand engagement and the emotional dimensions of users' interactions with gamified marketing campaigns. [ABSTRACT FROM AUTHOR]

This paper explores the parallel collaboration of multimodal physiological signals, combining eye tracker output signals, motor imagery, and error-related potentials to control a computer mouse. Specifically, a parallel working mechanism is implemented in the decision layer, where the eye tracker manages cursor movements, and motor imagery manages click functions. Meanwhile, the eye tracker output signals are integrated with electroencephalography data to detect the idle state for asynchronous control. Additionally, error-related potentials evoked by visual feedback, are detected to reduce the cost of error corrections. To efficiently collect data and provide continuous evaluations, we performed offline training and online testing in the designed paradigm. To further validate the practicability, we conducted online experiments on the real-world computer, focusing on a scenario of opening and closing files. The experiments involved seventeen subjects. The results showed that the stability of the eye tracker was optimized from 67.6% to 95.2% by the designed filter, providing the support for parallel control. The accuracy of motor imagery conducted simultaneously with fixations reached 93.41 ± 2.91%, proving the feasibility of parallel control. Furthermore, the real-world experiments took 45.86 ± 14.94 s to complete three movements and clicks, and showed a significant improvement compared to the baseline experiment without automatic error correction, validating the practicability of the system and the efficacy of error-related potentials detection. Moreover, this system freed users from the stimulus paradigm, enabling a more natural interaction. To sum up, the parallel collaboration of multimodal physiological signals is novel and feasible, the designed mouse is practical and promising. [ABSTRACT FROM AUTHOR]

Unintentional electromagnetic (EM) emissions often include information about the data processed by electronic devices. Intrusion based on an unintentional EM emission leaves no evidence of an attacker's activity, while the data owner is unaware that it has been lost. EM attacks can be performed without physically damaging a device that operates regularly. The most typical intrusion activities involve sensitive data exfiltration using various methods that do not require the physical connection of devices to the computer network or communication channels. This research examines EM emissions from computer monitors, wireless keyboards and mice, printers, scanners, conductors, piezoelectric sensors (PES), and radio frequency identification (RFID) devices. The telecommunication electronics material protected from emanating spurious transmissions (TEMPEST) profiling as a performance engineering of the EM footprint is discussed. This study also presents different TEMPEST standards and highlights their importance concerning unintentional EM radiation. [ABSTRACT FROM AUTHOR]

Consumer product usability has been addressed using tools that evaluate objects to improve user interaction. However, such diversity in approach makes it challenging to select a method for the type of product being assessed. This article compiles the concepts used since the origin of usability in product design. It groups them by attributes to formulate a usability index proposal. Due to the nature of the data, fuzzy, hierarchical, and axiomatic tools were applied to a trial group of experts and users. Three questionnaires were designed and administered throughout a five-stage process to collect and select attributes, rank them in importance, assign fuzzy values, obtain their numerical representation of use, and assign a qualitative category. By analyzing a case study, this research demonstrates the value of the index by comparing the use of computer mice. Unlike other approaches to evaluating usability, the proposed index incorporates the hierarchical importance of attributes. It allows for participants to express their opinions, transforming subjective responses into linguistic values represented in triangular areas, resulting in a more accurate representation of reality. Additionally, the complexity of the human–object interaction is treated by an information axiom to compute the usability index on a scale from 0 to 1, which reflects the probability of the product meeting the desired usability attributes. [ABSTRACT FROM AUTHOR]

In many Western cultures, the processing of temporal words related to the past and to the future is associated with left and right space, respectively – a phenomenon known as the horizontal Mental Time Line (MTL). While this mapping is apparently quite ubiquitous, its regularity and consistency across different types of temporal concepts remain to be determined. Moreover, it is unclear whether such spatial mappings are an essential and early constituent of concept activation. In the present study, we used words denoting time units at different scales (hours of the day, days of the week, months of the year) associated with either left space (e.g., 9 a.m., Monday, February) or right space (e.g., 8 p.m., Saturday, November) as cues in a line bisection task. Fifty-seven healthy adults listened to temporal words and then moved a mouse cursor to the perceived midpoint of a horizontally presented line. We measured movement trajectories, initial line intersection coordinates, and final bisection response coordinates. We found movement trajectory displacements for left- vs. right-biasing hour and day cues. Initial line intersections were biased specifically by month cues, while final bisection responses were biased specifically by hour cues. Our findings offer general support to the notion of horizontal space-time associations and suggest further investigation of the exact chronometry and strength of this association across individual time units. [ABSTRACT FROM AUTHOR]

The perceived offset position of a moving target has been found to be displaced forward, in the direction of motion (Representational Momentum; RM), downward, in the direction of gravity (Representational Gravity; RG), and, recently, further displaced along the horizon implied by the visual context (Representational Horizon; RH). The latter, while still underexplored, offers the prospect to clarify the role of visual contextual cues in spatial orientation and in the perception of dynamic events. As such, the present work sets forth to ascertain the robustness of Representational Horizon across varying types of visual contexts, particularly between interior and exterior scenes, and to clarify to what degree it reflects a perceptual or response phenomenon. To that end, participants were shown targets, moving along one out of several possible trajectories, overlaid on a randomly chosen background depicting either an interior or exterior scene rotated −22.5º, 0º, or 22.5º in relation to the actual vertical. Upon the vanishing of the target, participants were required to indicate its last seen location with a computer mouse. For half the participants, the background vanished with the target while for the remaining it was kept visible until a response was provided. Spatial localisations were subjected to a discrete Fourier decomposition procedure to obtain independent estimates of RM, RG, and RH. Outcomes showed that RH's direction was biased towards the horizon implied by the visual context, but solely for exterior scenes, and irrespective of its presence or absence during the spatial localisation response, supporting its perceptual/representational nature. [ABSTRACT FROM AUTHOR]

Introduction: The objective of the study was to explore the molecular mechanism of long noncoding RNA (lncRNA) LINC00472 in Alzheimer's disease (AD) and identify potential novel targets for AD therapy. Method: Ferroptosis-related lncRNAs were screened by GEO database. AD mouse model was constructed for in vivo experiments. The content of Aβ protein and tau protein hyperphosphorylation were examined in hippocampal tissue samples of mice. Subsequently, HT22 cells were induced with Aβ25–35 to establish a neuronal injury model of AD in vitro. The expression of FOXO1, a key gene for ferroptosis, was verified by overexpressing/knocking down the LINC00472. The effects of LINC00472 on ROS and lipid peroxidation content, GPX4, and tau protein in AD model cells were examined by ROS assay, MDA assay, Western blot, and qRT-PCR. Subsequently, the expression of iron ion, FTH, TfRC, and Fpn protein were detected in AD cells. Results: The level of FOXO1 was positively correlated with the degree of AD. In vivo experiments showed that the expression of Aβ and tau hyperphosphorylated were significantly reduced in the inhibitor group and iron was significantly reduced relative to the AD group. In the AD cell model, the content of lipid peroxide was upregulated, GPX4 protein and mRNA were decreased, and phosphorylation of tau protein was enhanced in the AD cell model relative to the control group. Whereas knocking down LINC00472 inhibited the upregulation of lipid peroxide, decreased the level of GPX4, and enhanced tau protein phosphorylation, and reduced iron accumulation in AD cells. Conclusions: LINC00472 affects ferroptosis in AD by regulating iron accumulation in neuronal cells. [ABSTRACT FROM AUTHOR]

Volume measurements of organs and structures are crucial for medical assessments and have traditionally been performed using computers, with a recent interest in tablets with digital pens. This study aims to evaluate the reliability of the computer mouse and graphic tablet in organ volume measurements based on the Cavalieri Principle. It will compare the advantages and disadvantages of each device, focusing on consistency and measurement duration. The study analyzed a dataset comprising 22 abdominal CT images from females and 21 from males, sourced from the Department of Radiology. Spleen and kidney volumes were quantified using Image J software and the Cavalieri Principle, utilizing both a computer equipped with a mouse and a graphic tablet with a drawing pen. The results revealed that computer mouse and graphic tablet measurements showed similar organ volumes, with average kidney volumes of 181.53 ±51.72 cm³ and 179.34 ±51.37 cm³, respectively, and spleen volumes of 211.03 ±78.47 cm³ and 205.93 ±77.52 cm³, respectively. The computer mouse required 283.55 ±56.03 seconds for the kidney and 386.74 ±106.66 seconds for the spleen, whereas the graphic tablet took only 128.79 ±33.32 seconds for the kidney and 141.91 ±40.18 seconds for the spleen, demonstrating a statistically significant reduction in measurement time (p < 0.001). The findings of this study suggest that graphic tablet provides a comparable level of reliability to the computer mouse for organ volume measurements using the Cavalieri Principle. Additionally, the tablet offers the significant benefit of faster measurement times. [ABSTRACT FROM AUTHOR]

Objective Our research was performed in order to explore the effects of molecular hydrogen (H2), a novelly-established antioxidant, on the retinal degeneration in rd1 mice, an animal model of inherited retinitis pigmentosa (RP). Methods The rd1 mice were divided randomly into control and H2 intervention groups. Mice from other groups received H2 intervention in three modes, two modes of the hydrogen gas (HG) and one model of hydrogen-rich saline (HRS). At 14 days post born (P14) and P21, various indicators were detected in all mice, including eletroretinogram (ERG), fundus phography, optical coherence tomography (OCT), and retinal immunotaining of microglia cells' marker, Iba1. Results The ERG amplitude in mice from the control and H2 intervention groups showed no statistical differences (p > 0.05). At P14 and P21, no significant difference in the distance from the retinal pigment epithelium to the outer plexiform layer on OCT from mice of the above two groups was found (p > 0.05). The thickness of the outer nuclear layer (ONL) in mice at P14 and P21 showed no statistical differences between the control group and the H2 intervention group (p > 0.05). In the aspect of the number of Iba1-positive cells, we did not found any significant differences between the two groups (p > 0.05). Conclusion Different forms of H2 intervention (hydrogen-rich saline and hydrogen gas) had no obvious effects on the course of retinal degeneration in rd1 mice. The specific mechanism of photoreceptor degeneration in the hereditary RP mouse model may be different, requiring different medical interventions. [ABSTRACT FROM AUTHOR]

When we complete sequential movements with different intentions, we plan our movements and adjust ahead. Such a phenomenon is called anticipatory planning for prior intentions and is known to decline with age. In daily life activities, we often need to consider and plan for multiple demands in one movement sequence. However, previous studies only considered one dimension of prior intentions, either different types of onward actions or different precisions of fit or placement. Therefore, in this study, we investigated anticipatory planning for both extrinsic (movement direction) and intrinsic (fit precision) target-related properties in a computer-based movement task and analyzed the computer cursor movement kinematics of both young and older adults. We found that older people consider and adjust for different properties step-by-step, with movement direction being considered as a prior intention during reach movement and fit precision as a motor constraint during drop movement. The age-related changes in the completion of onward actions are constrained by one's general cognitive ability, sensorimotor performance and effective motor planning for prior intentions. Age-related decline in motor planning can manifest as counterproductive movement profiles, resulting in suboptimal performance of intended actions. [ABSTRACT FROM AUTHOR]

BACKGROUND: Numerous people use computer mice for long hours, especially in offices. Mouse users reported various pains and discomfort. OBJECTIVE: The study aimed to assess three types of most common mice (vertical, traditional, flat) in Iran in terms of their effects on carpal tunnel syndrome, hand discomfort, and usability. METHODS: The Boston Carpal Tunnel Syndrome questionnaire, the Cornell Hand Discomfort Questionnaire (CHDQ), System Usability Scale (SUS), and Workplace Ergonomic Risk Assessment (WERA) scores were used to assess vertical, traditional, and flat mice. In addition, the participant's hand position was analyzed by observation method. RESULTS: Most participants had medium carpal tunnel syndrome severity; however, flat mouse users had a higher score, and the difference between mice was insignificant (p > 0.05). Most mouse users felt discomfort in their small and ring fingers, and the type of mouse significantly affected thumb discomfort level. More flat users felt Pain in the different parts of their hands. The flat mouse has the least SUS score. There was a significant difference between the three mice regarding SUS scores (p < 0.05). WERA mean values were acceptable for numerous mice. Adopting neutral wrist postures was more common among vertical, flat, and traditional mouse users, respectively; however, the flat mouse users tended to bend their fingers. CONCLUSION: There are differences between vertical and traditional flat mice in terms of ergonomic indicators. Although more studies are needed, it seems that vertical mice are better in some indicators. [ABSTRACT FROM AUTHOR]

Recently, as the non-face-to-face society persists due to the coronavirus (COVID-19), the Internet usage rate continues to increase, and input devices, such as keyboards and mice, are mainly used to authenticate users in non-face-to-face environments. Due to the nature of the non-face-to-face environment, important personal data are processed, and since these personal data include authentication information, it is very important to protect them. As such, personal information, including authentication information, is entered mainly from the keyboard, and attackers use attack tools, such as keyloggers, to steal keyboard data in order to grab sensitive user information. Therefore, to prevent disclosure of sensitive keyboard input, various image-based user authentication technologies have emerged that allow sensitive information, such as authentication information, to be entered via mouse. To address mouse data stealing vulnerabilities via GetCursorPos() function or WM_INPUT message, which are representative mouse data attack techniques, a mouse data defense technique has emerged that prevents attackers from classifying real mouse data and fake mouse data by the defender generating fake mouse data. In this paper, we propose a mouse data attack technique using machine learning against a mouse data defense technique using the WM_INPUT message. The proposed technique uses machine learning models to classify fake mouse data and real mouse data in a scenario where the mouse data defense technique, utilizing the WM_INPUT message in image-based user authentication, is deployed. This approach is verified through experiments designed to assess its effectiveness in preventing the theft of real mouse data, which constitute the user's authentication information. For verification purposes, a mouse data attack system was configured, and datasets for machine learning were established by collecting mouse data from the configured attack system. To enhance the performance of machine learning classification, evaluations were conducted based on data organized according to various machine learning models, datasets, features, and generation cycles. The results, highlighting the highest performance in terms of features and datasets were derived. If the mouse data attack technique proposed in this paper is used, attackers can potentially steal the user's authentication information from various websites or services, including software, systems, and servers that rely on authentication information. It is anticipated that attackers may exploit the stolen authentication information for additional damages, such as voice phishing. In the future, we plan to conduct research on defense techniques aimed at securely protecting mouse data, even if the mouse data attack technique proposed in this paper is attempted. [ABSTRACT FROM AUTHOR]

This study compares response time and accuracy in a binary data labeling task on two platforms: a desktop computer and a mobile phone. Three methods were used on the computer: a keyboard, a mouse, and a mouse with perceptual variability that was designed to combat vigilance decrement. Three additional methods were used on the mobile phone: a tap, a swipe touch-gesture, and a tap with perceptual variability. Results of the study show that the fastest was the keyboard, which may explain its popularity in labeling tasks. The second fastest was the tap interface, suggesting the unexploited potential of mobile devices for "labeling while waiting for the bus." In terms of accuracy, we found clear evidence for a speed–accuracy tradeoff, and the advantage of the perceptual variability methods to be more accurate than the matching methods without perceptual variability. The results suggest that different user input methods should be employed depending on whether response time or accuracy is more valued. [ABSTRACT FROM AUTHOR]

The mouse is one of the great inventions of HCI (Human Computer Interaction) technology. Nowadays there are Bluetooth devices (Wireless Mouse) that are used for controlling the PC. Wireless or Bluetooth mouse technology is Present, but it’s not device-free. Bluetooth mouse requires the use of batteries and the included dongle. The presence of additional electronics in the mouse makes it difficult to use. In the proposed virtual mouse system, employing a webcam or a built-in camera for capturing hand gestures and hand tip detection using computer vision can be used to overcome these limitations. Based on the users’ hand gestures, the PC can be controlled virtually and can perform left-click, right-click, double-click, and computer cursor function just as a physical mouse, without using the physical mouse. Hence, the proposed system is very practical in this post-COVID-19 world by eliminating human intervention and dependency on devices to control the computer, As a result, the transmission of devices through physical contact by multiple users is reduced. This project promotes an approach to Human Computer Interaction (HCI) where cursor movement can be controlled using a real-time camera; it is an alternative to the current methods including manual input of buttons or changing the positions of a physical computer mouse. Instead, it utilizes a camera and computer vision technology to control various mouse events and is capable of performing every task that the physical computer mouse can. [ABSTRACT FROM AUTHOR]

Although mouse‐tracking has been taken as a real‐time window on different aspects of human decision‐making processes, whether purely semantic information affects response conflict at the level of motor output as measured through mouse movements is still unknown. Here, across two experiments, we investigated the effects of semantic knowledge by predicting participants' performance in a standard keyboard task and in a mouse‐tracking task through distributional semantics, a usage‐based modeling approach to meaning. In Experiment 1, participants were shown word pairs and were required to perform a two‐alternative forced choice task selecting either the more abstract or the more concrete word, using standard keyboard presses. In Experiment 2, participants performed the same task, yet this time response selection was achieved by moving the computer mouse. Results showed that the involvement of semantic components in the task at hand is observable using both standard reaction times (Experiment 1) as well as using indexes extracted from mouse trajectories (Experiment 2). In particular, mouse trajectories reflected the response conflict and its temporal evolution, with a larger deviation for increasing word semantic relatedness. These findings support the validity of mouse‐tracking as a method to detect deep and implicit decision‐making features. Additionally, by demonstrating that a usage‐based model of meaning can account for the different degrees of cognitive conflict associated with task achievement, these findings testify the impact of the human semantic memory on decision‐making processes. [ABSTRACT FROM AUTHOR]

Aim: To explore whether hyperglycaemia plays a role in periodontal inflamm‐aging by inducing phenotypical transformation of macrophages, as well as the potential mechanism via SET domain‐bifurcated histone lysine methyltransferase 1 (SETDB1). Materials and Methods: A hyperglycaemic mouse model was established using streptozotocin injection. The alveolar bone was analysed using micro‐computed tomography. Periodontal inflamm‐aging was detected using western blotting, quantitative real‐time PCR and immunohistochemical analysis. In vitro, RAW 264.7 macrophages were incubated with various doses of glucose. siRNA or overexpression plasmids were used to determine the regulatory mechanism of SETDB1 in macrophage senescence and inflamm‐aging under hyperglycaemic conditions. Expression and distribution of SETDB1 and long interspersed element 1 (LINE‐1) in gingival tissues of patients with or without diabetes were detected using immunofluorescent staining. Results: SETDB1 expression in the periodontal tissues of patients and mice with diabetes was down‐regulated compared with that in non‐diabetic controls. SETDB1 deficiency induced senescence‐like phenotypical changes in macrophages, which aggravated periodontal inflamm‐aging in diabetic mice. Furthermore, metformin treatment rejuvenated SETDB1 activity and alleviated the hyperglycaemia‐induced periodontal inflamm‐aging. Conclusions: The findings of this study show that SETDB1 regulates senescence‐like phenotypical switching of macrophages and is a potential candidate for the treatment of diabetes‐induced periodontal inflamm‐aging. [ABSTRACT FROM AUTHOR]

The capacity to stop impending or ongoing actions contributes to executive control over behavior. Action-stopping, however, is difficult to directly quantify. It is therefore assayed via computational modeling of behavior in the stop signal task to estimate the latency of stopping (stop signal reaction time, SSRT) and, more recently, the reliability of stopping in terms of the distribution of SSRTs (standard deviation, SD-SSRT) and the frequency with which one outright fails to react to a stop signal (trigger failures, TF). Critically, the validity of computational estimates remains unknown because we currently have no direct readouts of behavior against which to compare them. Here, we developed a method for providing single-trial behavioral readouts of SSRT and trigger failures. The method relies on an adaptation of the stop signal task in which participants respond by moving a computer mouse. In two online experiments, we used movement kinematics to quantify stopping performance (SSRT, SD-SSRT, and TF), and then applied the standard Race Model and recent BEESTS model in order to examine the convergent validity of the methods. Overall, we demonstrate good correspondence between kinematics- and model-based estimates of stopping performance at the group and individual level. We conclude that the new method provides valid estimates of stopping performance that, unlike model-based estimates, can be read out at the level of single trials. Our approach might therefore be useful for interrogating single-trial neurophysiological correlates of stopping and for large-scale, online studies of behavioral stopping. [ABSTRACT FROM AUTHOR]

BACKGROUND: Prolonged and sustained work posture among computer users is one of the main factors that contributes to musculoskeletal discomfort. Rest-break interventions such as task variation and microbreaks may help prevent muscle fatigue and work-related musculoskeletal disorder. OBJECTIVE: We aimed to investigate the effects of task variation and microbreaks at seated and standing workstations on forearm muscle activity, namely extensor digitorum communis, extensor carpi ulnaris, flexor digitorum superficialis, and flexor carpi ulnaris; mouse operation force (vertical compression force); mouse operation parameters; and perceived body discomfort during mouse operation. METHODS: Twelve healthy right-handed young adults were recruited (male: n = 7, 21.6±1.4 years; female: n = 5, 21.4±1.7 years). Participants performed three blocks of computer tasks (computer mouse operation and typing) in both seated and standing postures with each block lasting for 30 min. Surface electromyography (EMG) of the forearm muscles and operation force were monitored during computer mouse operation. Body discomfort rating was recorded at the end of each block. RESULTS: With simulated task variation and microbreaks, work posture and work time showed no significant difference with EMG amplitude and mouse operation force. CONCLUSION: Task variation and microbreaks could be of benefit to computer users by reducing muscle fatigue during long hours of computer work at both seated and standing workstations. [ABSTRACT FROM AUTHOR]

Background: Knee extension exercise is useful and practical for obese and overweight people as this form of exercise is effective in minimizing body weight loading on joints and improving the body's physiological function. This study aimed to compare the physiological and psychophysical parameters of office workers while computer-based working in an active workstation equipped with an active footrest (AFR) prototype with a mechanism for performing knee extension exercises in a sitting position, and also to compare the physiological and psychophysical parameters among normal-weight and obese office workers. Methods: In this quasi-experimental study, the physiological parameters of heart rate (HR) and energy expenditure (EE) (measured with the Fitbit Charge HR smartwatch) were measured in two cross-over random sessions for 32 office workers (16 normal-weight and 16 obese) aged 28 to 50 years (M = 42.72, standard deviation [ SD ] = 4.37) while performing office tasks in sitting and active workstations (equipped with AFR). Perceived physical exertion, comfort, fatigue, and liking were also measured by rating the participants. Findings: Short-term activity of the participants with AFR performing computer tasks significantly improved physiological and psychophysical parameters compared with the participants in sitting workstations. However, there was no significant difference in the effect of AFR on physiological and psychophysical parameters between normal-weight and obese participants. Conclusions/Application to Practice: Given the significant increase in EE and HR resulting from exercise with AFR compared with the conventional workstation, the use of AFR can help office workers achieve the minimum standard of physical activity at their workplace. [ABSTRACT FROM AUTHOR]

In recent years, flexible sensors based on laser-induced graphene (LIG) have played an important role in areas such as smart healthcare, smart skin, and wearable devices. This paper presents the fabrication of flexible sensors based on LIG technology and their applications in human–computer interaction (HCI) systems. Firstly, LIG with a sheet resistance as low as 4.5 Ω per square was generated through direct laser interaction with commercial polyimide (PI) film. The flexible sensors were then fabricated through a one-step method using the as-prepared LIG. The applications of the flexible sensors were demonstrated by an HCI system, which was fabricated through the integration of the flexible sensors and a flexible glove. The as-prepared HCI system could detect the bending motions of different fingers and translate them into the movements of the mouse on the computer screen. At the end of the paper, a demonstration of the HCI system is presented in which words were typed on a computer screen through the bending motion of the fingers. The newly designed LIG-based flexible HCI system can be used by persons with limited mobility to control a virtual keyboard or mouse pointer, thus enhancing their accessibility and independence in the digital realm. [ABSTRACT FROM AUTHOR]

Background: This study assessed the therapeutic efficacy of intraperitoneal photodynamic therapy (PDT) using photosensitizer activation at two different wavelengths, 405 and 664 nm, in a mouse model of peritoneal carcinomatosis. Methods: The dark and light cytotoxicity of chlorin e6-polyvinylpyrrolidone (Phonozen) were measured in vitro under 402 ± 14 and 670 ± 18 nm LED activation in bioluminescent human gastric cancer cells, MKN45-luc. Cell viability was measured at 6 h after irradiation using the PrestoBlue assay. Corresponding in vivo studies were performed in athymic nude mice by intraperitoneal injection of 1 × 106 MKN45-luc cells. PDT was performed 10 d after tumor induction and comprised intraperitoneal injection of Phonozen followed by light irradiation at 3 h, delivered by a diffusing-tip optical fiber placed in the peritoneal cavity and coupled to a 405 or 664 nm diode laser to deliver a total energy of 50 J (20 mice per cohort). Whole-body bioluminescence imaging was used to track the tumor burden after PDT out to 130 days, and 5 mice in each cohort were sacrificed at 4 h post treatment to measure the acute tumor necrosis. Results: Photosensitizer dose-dependent photocytotoxicity was higher in vitro at 405 than 664 nm. In vivo, PDT reduced the tumor growth rate at both wavelengths, with no statistically significant difference. There was substantial necrosis, and median survival was significantly prolonged at both wavelengths compared with controls (46 and 46 vs. 34 days). Conclusions: Phonozen-mediated PDT results in significant cytotoxicity in vitro as well as tumor necrosis and prolonged survival in vivo following intraperitoneal light irradiation. Blue light was more photocytotoxic than red in vitro and had marginally higher efficacy in vivo. [ABSTRACT FROM AUTHOR]

Conductive threads have emerged as a highly promising platform for the advancement of smart textiles, enabling the integration of conductivity into fabric materials. In this study, we present a novel approach to fabricate highly flexible graphene-based smart threads, which exhibit exceptional electrical properties. Four distinct types of smart threads were meticulously prepared by drop-casting graphene dispersions onto cotton threads, utilizing various solvents. The influence of annealing temperature and the quantity of dispersed graphene on the electrical conductivity of the threads was systematically investigated. Our findings reveal that the electrical conductivity of the threads is significantly influenced by the type of solvent and the annealing temperature, while exhibiting an increasing trend with higher amounts of dispersed graphene. Remarkably, we achieved a maximum electrical conductivity of 2505.68 S cm−1 for a thread prepared with 6 mL of graphene dispersed in ethanol, annealed at a temperature of 78 °C. Furthermore, the fabricated smart threads were successfully employed as replacements for electric cables in a mobile charger and a computer mouse, demonstrating their high efficiency. This work represents a significant advancement in the development of a new generation of smart textiles, offering a simple, cost-effective, and environmentally friendly fabrication method for the production of smart threads. [ABSTRACT FROM AUTHOR]

The human brain's remarkable motor adaptability stems from the formation of context representations and the use of a common context representation (e.g., an invariant task structure across task contexts) derived from structural learning. However, direct evaluation of context representations and structural learning in sensorimotor tasks remains limited. This study aimed to rigorously distinguish neural representations of visual, movement, and context levels crucial for multi-context visuomotor adaptation and investigate the association between representation commonality across task contexts and adaptation performance using multivariate decoding analysis with fMRI data. Here, we focused on three distinct task contexts, two of which share a rotation structure (i.e., visuomotor rotation contexts with -90° and +90° rotations, in which the mouse cursor's movement was rotated 90 degrees counterclockwise and clockwise relative to the hand-movement direction, respectively) and the remaining one does not (i.e., mirror-reversal context where the horizontal movement of the computer mouse was inverted). This study found that visual representations (i.e., visual direction) were decoded in the occipital area, while movement representations (i.e., hand-movement direction) were decoded across various visuomotor-related regions. These findings are consistent with prior research and the widely recognized roles of those areas. Task-context representations (i.e., either -90° rotation, +90° rotation, or mirror-reversal) were also distinguishable in various brain regions. Notably, these regions largely overlapped with those encoding visual and movement representations. This overlap suggests a potential intricate dependency of encoding visual and movement directions on the context information. Moreover, we discovered that higher task performance is associated with task-context representation commonality, as evidenced by negative correlations between task performance and task-context-decoding accuracy in various brain regions, potentially supporting structural learning. Importantly, despite limited similarities between tasks (e.g., rotation and mirror-reversal contexts), such association was still observed, suggesting an efficient mechanism in the brain that extracts commonalities from di_erent task contexts (such as visuomotor rotations or mirror-reversal) at multiple structural levels, from high-level abstractions to lower-level details. In summary, while illuminating the intricate interplay between visuomotor processing and context information, our study highlights the efficiency of learning mechanisms, thereby paving the way for future exploration of the brain's versatile motor ability. [ABSTRACT FROM AUTHOR]

Two behavioral motivations coexist in transgressors following an interpersonal transgression--approaching and compensating the victim and avoiding the victim. Little is known about how these motivations arise, compete, and drive transgressors' decisions. The present study adopted a social interaction task to manipulate participants' (i.e., the transgressor) responsibility for another's (i.e., the victim) monetary loss and measure the participants' tradeoff between compensating the victim and avoiding face-to-face interactions with the victim. Following each transgression, participants used a computer mouse to choose between two options differing in the amount of compensation to the victim and the probability of face-to-face contact with the victim. Results showed that as participants' responsibility increased, 1) the decision weights on contact avoidance relative to compensation increased, and 2) the onset of the contact-avoidance attribute was expedited and that of the compensation attribute was delayed. These results demonstrate how competing social motivations following transgression evolve and determine social decision-making and shed light on how social-affective state modulates the dynamics of decision-making in general. [ABSTRACT FROM AUTHOR]

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Theories of embodied cognition suggest that hand motions and cognition are closely interconnected. An emerging technique of tracking how participants move a computer mouse (i.e., the mouse-tracking technique) has shown advantages over the traditional response time measurement to detect implicit cognitive conflicts. Previous research suggests that attention is essential for subliminal processing to take place at a semantic level. However, this assumption is challenged by evidence showing the presence of subliminal semantic processing in the near-absence of attention. The inconsistency of evidence could stem from the insufficient sensitivity in the response time measurement. Therefore, we examined the role of attention in subliminal semantic processing by analyzing participants' hand motions using the mouse-tracking technique. The results suggest that subliminal semantic processing is not only enhanced by attention but also occurs when attention is disrupted, challenging the necessity of facilitated top-down attention for subliminal semantic processing, as claimed by a number of studies. In addition, by manipulating the color of attentional cues, our experiment shows that the cue color per se could influence participants' response patterns. Overall, the current study suggests that attentional status and subliminal semantic processing can be reliably revealed by temporal–spatial features extracted from cursor motion trajectories. [ABSTRACT FROM AUTHOR]

The present research aims to explore the potential impact of mobile phone radiation on bone marrow haematopoietic stem cell in mice. 160 male BALB/C mice aged 3–4 weeks were randomly distributed into 4 groups as blank control, control, TD-SCDMA and LTE-Advanced respectively, with 40 mice in each group. Mice were designed to receive cell phone radiation for 2–8 weeks. 10 mice in each group were taken out for examinations given radiation exposure periods were 2, 4, 6 and 8 weeks respectively. Then terminal deoxynuclotidyl transferase-mediated dUTP Nick-end labelling technique was conducted to detect the apoptosis of stem cell, and morphological method was carried out for the examination of micronucleus and subpopulations of bone marrow haematopoietic stem cell, while enzyme immune technique was performed to analyse the subsets of T lymphocyte. As a result, no statistical differences were discovered on issues of apoptosis and micronucleus during the entire experimental period in the 2 sham radiation control groups. Notwithstanding similar results were seen in TD-SCDMA and LTE-Advanced groups after exposed to radiation for 2 or 4 weeks, apoptosis began to be enhanced and micronucleus to be increased given the mice experience longer exposure as 6 or 8 weeks. There were virtually negligible effects on subpopulations of stem cell, as well as on subsets of T lymphocyte of peripheral blood during the entire experimental period in the 4 groups. It could be concluded that long-term radiation from cell phone could induce apoptosis of haematopoietic stem cell in mice; moreover, it seems to stimulate the formation of micronucleus, yet with even negligible effect on the proportions of stem cell subpopulations and peripheral blood T lymphocyte subsets. [ABSTRACT FROM AUTHOR]

Objectives: The main aims of the study were the evaluation of stress-related effects (strenuous vs. non-strenuous sport vs. nonathletes) in stimulating or reducing influences on cartilage volume in the ankle joint and the evaluation of the image quality of a magnetic resonance imaging (MRI) device with a field strength of 3.0 Tesla compared to one of 1.5 Tesla. Methods: A total of 15 subjects (6 male, 9 female) aged 19–33 years participated voluntarily in this prospective study. The subjects were divided into three groups: high-performance athletes of the German Football Association (DFB) (football/soccer = strenuous sport), high-performance athletes of the German Swimming Association (DSV) (swimming = non-strenuous sport), and nonathletes. MRI was performed on both ankle joints of all subjects in the 1.5 T and 3.0 T MRI scanners using survey sequences, proton density sequences in the coronal and sagittal planes, and VIBE sequences. Using the images of both feet produced by VIBE sequences, the cartilages of the talus and tibia were manually circumscribed using a computer mouse in every third layer, and the volume was calculated. For qualitative assessment, blinded images were submitted to three radiologists with defined standards. The images were scored using a scale from 1 to 5. Results: Cartilage volume: The investigation and examination of the individual cartilage volumes by analysis of variance (ANOVA) showed no significant differences among the three groups. The effect intensities, as calculated by Cohen's d, were right tibia (Tiri) = 2.5, left tibia (Tile) = 2.2, right talus (Tari) = 1.9, and left talus (Tale) = 1.6 in the strenuous sport versus nonstrenuous sport groups; Tiri = 0.8, Tile = 1.2, Tari = 0.4, and Tale = 0.5 in the strenuous sport versus nonathlete groups; and Tiri = 0.3, Tile = 0.2, Tari = 0.7, and Tale = 0.5 in the nonstrenuous sport versus nonathlete groups. Device comparison: In the investigation of each evaluated area on the 1.5 T and 3.0 T MR images by the Wilcoxon matched-pair test, significant differences were found for the cartilage–bone border (KKG = 0.002), cancellous bone (Sp = 0.001), medial ligamentous apparatus (mBa = 0.001), lateral ligamentous apparatus (lBa = 0.001), and adipose tissue (Fg = 0.002). Thus, there were significant differences in the assessment of the 1.5 T MRI and the 3.0 T MRI in all five evaluated areas. Conclusion: The study showed no significant difference in the volume of hyaline articular cartilage in the upper ankle joint among the high-performance strenuous DFB athlete, high-performance non-strenuous DSV athlete, and nonathlete groups. The 3.0 Tesla device offers significant advantages in image quality compared to the 1.5 Tesla device. [ABSTRACT FROM AUTHOR]

The label 'Stop' potentially generates conflict—signifying important corrective action, or a warning not to touch. To examine potential conflict between an incongruent label (i.e. STOP) and an imperative command (i.e. MOVE!), 18 participants used a computer mouse to move a crosshair cursor to targets with superimposed labels. Trials systematically varied Imperative (blank or MOVE!), Label (+GO + or STOP) and movement Distance. Kinematic analyses examined response latency, movement duration and accuracy. Incongruent labels had little impact upon response latencies, but they affected cursor deceleration and the variability of cursor placement. Although reading is assumed to be obligatory, the impact of written labels is not immediate, instead affecting cursor deceleration. Indeed, responses to controls labelled STOP were less accurate than those labelled + GO+. As labelled interfaces can create error versus command confusions, enhancing the discriminability of controls to afford more obvious visible cues as to method of use is recommended. Practitioner summary: Emergency stop and shutdown controls can cause response conflict as their labels signify both urgent corrective actions and 'don't touch'. Response conflict caused by confusing superimposed labels is resolved as cursors near the target control and may result in reduced movement accuracy. Prior warnings may influence resolution of response conflict. Abbreviations: Hz: Hertz; M: Mean; ms: millisecond; mm: millimetre; S: second; SD: Standard Deviation; SE: Standard Error; USB: Universal Serial Bus [ABSTRACT FROM AUTHOR]

Background: Self‐management of cognitive load is a recent development in cognitive load theory. Finger pointing has been shown to be a potential self‐management strategy to support learning from spatially separated, but mutually referring text and pictures (i.e., split‐attention examples). Aims: The present study aimed to extend the prior research on the pointing strategy and investigated the effects of finger pointing on learning from online split‐attention examples. Moreover, we examined an alternative pointing strategy using the computer mouse, and a combination of finger pointing and computer‐mouse pointing. Sample: One‐hundred and forty‐five university students participated in the present study. Method: All participants studied an online split‐attention example about the human nervous system and were randomly allocated to one of four conditions: (1) pointing with the index finger, (2) pointing with the computer mouse, (3) pointing with the index finger and the computer mouse and (4) no pointing. Results: Results confirmed our main hypothesis, indicating that finger pointing led to higher retention performance than no pointing. However, the mouse pointing strategy and the combined finger and mouse pointing strategy did not show supportive effects. Conclusions: Finger pointing can be used as a simple and convenient self‐management strategy in online learning environments. Mouse pointing may not be as effective as finger pointing. [ABSTRACT FROM AUTHOR]

Neuromarketing is a continuously evolving field that utilises neuroimaging technologies to explore consumers' behavioural responses to specific marketing-related stimulation, and furthermore introduces novel marketing tools that could complement the traditional ones like questionnaires. In this context, the present paper introduces a multimodal Neuromarketing dataset that encompasses the data from 42 individuals who participated in an advertising brochure-browsing scenario. In more detail, participants were exposed to a series of supermarket brochures (containing various products) and instructed to select the products they intended to buy. The data collected for each individual executing this protocol included: (i) encephalographic (EEG) recordings, (ii) eye tracking (ET) recordings, (iii) questionnaire responses (demographic, profiling and product related questions), and (iv) computer mouse data. NeuMa dataset has both dynamic and multimodal nature and, due to the narrow availability of open relevant datasets, provides new and unique opportunities for researchers in the field to attempt a more holistic approach to neuromarketing. [ABSTRACT FROM AUTHOR]

Recorded on 23 March 2023 This interview was prepared and conducted by Marcelo M. Wanderley and Christian Frisson. September 16-21. 2002: 305-12 3 Cadoz Claude, Wanderley Marcelo M. Gesture - Music. Biography Claude Cadoz Scientific researcher and computer music composer Graph Claude Cadoz is a graduate of the Grenoble Institute of Technology, Electronic and Radio Telecommunications Engineering School, 1972. [Extracted from the article]

Introduction: This study was designed to investigate the effect of running exercise on improving bone health in aging mice and explore the role of the SIRT1 in regulating autophagy and osteogenic differentiation of Bone marrow Mesenchymal Stem Cells (BMSCs). Methods: Twelve-month-old male C57BL/6J mice were used in this study as the aging model and were assigned to treadmill running exercise for eight weeks. Non-exercise male C57BL/6J mice of the same old were used as aging control and five-month-old mice were used as young controls. BMSCs were isolated from mice and subjected to mechanical stretching stimulation in vitro. Results: The results showed that aging mice had lower bone mass, bone mineral density (BMD), and autophagy than young mice, while running exercise improved BMD and bone mass as well as upregulated autophagy in bone cells. Mechanical loading increased osteogenic differentiation and autophagy in BMSCs, and knockdown of SIRT1 in BMSCs demonstrated that SIRT1-regulated autophagy involved the mechanical loading activation of osteogenic differentiation. Conclusion: Taken together, this study revealed that exercise improved bone health during aging by activating bone formation, which can be attributed to osteogenic differentiation of BMSCs through the activation of SIRT1-mediated autophagy. The mechanisms underlying this effect may involve mechanical loading. [ABSTRACT FROM AUTHOR]

• Augmented reality is applied in a variety of technical and medical fields. • Currently augmented reality is barely applied in forensics. • Augmented reality presents a chance for further development in forensic investigation approaches. Forensic investigations require a vast variety of knowledge and expertise of each specialist involved. With the increase in digitization and advanced technical possibilities, the traditional use of a computer with a screen for visualization and a mouse and keyboard for interactions has limitations, especially when visualizing the content in relation to the real world. Augmented reality (AR) can be used in such instances to support investigators in various tasks at the scene as well as later in the investigation process. In this article, we present current applications of AR in forensics and forensic medicine, the technological basics of AR, and the advantages that AR brings for forensic investigations. Furthermore, we will have a brief look at other fields of application and at future developments of AR in forensics. [ABSTRACT FROM AUTHOR]

This project promotes a human-computer interaction (HCI) approach where the movement of the cursor can be controlled by the camera in real time, it is an alternative to current methods including manual button entry or change the position of the physical computer mouse. Instead, it uses a camera and computer vision technology to control various mouse events and is capable performing all the tasks that a physical computer mouse can do. The Virtual Mouse color recognition program will continuously acquire in real time images, where the images go through a series of filters and conversions. Whenever the process is complete, the program will apply image processing technique to obtain the coordinates of the position of the targeted colors from converted frames. It then proceeds to compare the existing colors within the boxes with a list of color combinations where there are different combinations consists of various mouse functions. If the current color combination was found and match, the program will execute the mouse function, which will be translated into the actual function of the mouse to the user's computer. [ABSTRACT FROM AUTHOR]