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2016
DOI: 10.1049/htl.2015.0056
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Enabling active and healthy ageing decision support systems with the smart collection of TV usage patterns

Abstract: Smart monitoring of seniors behavioural patterns and more specifically activities of daily living have attracted immense research interest in recent years. Development of smart decision support systems to support the promotion of health smart homes has also emerged taking advantage of the plethora of smart, inexpensive and unobtrusive monitoring sensors, devices and software tools. To this end, a smart monitoring system has been used in order to extract meaningful information about television (TV) usage patter… Show more

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Cited by 7 publications
(4 citation statements)
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References 36 publications
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“…Furthermore, the PC is only used for videoconferencing services, whereas the health monitoring subsystem, controlling the self-operated medical devices via wireless communication, exploits a different local concentrator connected to the Internet; thus, it has reduced integration levels. In addition, beyond providing a very interesting telecare platform, the adoption of a TV-based system also enables studies on the TV usage patterns and habits [61] with completely unobtrusive solutions; therefore, early signs of health and cognitive deterioration can be identified.…”
Section: Related Workmentioning
confidence: 99%
“…Furthermore, the PC is only used for videoconferencing services, whereas the health monitoring subsystem, controlling the self-operated medical devices via wireless communication, exploits a different local concentrator connected to the Internet; thus, it has reduced integration levels. In addition, beyond providing a very interesting telecare platform, the adoption of a TV-based system also enables studies on the TV usage patterns and habits [61] with completely unobtrusive solutions; therefore, early signs of health and cognitive deterioration can be identified.…”
Section: Related Workmentioning
confidence: 99%
“…However, few studies were conducted to test the accuracy and outcomes of an energy usage monitoring system in real-life settings [ 17 ]. Billis et al [ 35 ] used smart television data to extract meaningful information about television usage patterns and subsequently associate them with the clinical findings of experts. Another study by Franco et al [ 36 ] tested the feasibility of a system for noninvasive monitoring of subjects at home by recording electrical activity from room lighting and other electrical domestic appliances.…”
Section: Discussionmentioning
confidence: 99%
“…This type of monitoring—monitoring by specific types of appliances—is less sensitive to deviations from the average 24-hour energy usage pattern compared to an energy usage monitoring system operating via the smart meter because these particular appliances do not include the total activity of a household. However, the advantage of this system is that the collected data does not need to be disaggregated; it is immediately clear which appliance was used [ 35 , 36 ].…”
Section: Discussionmentioning
confidence: 99%
“…This included using data collected through the system for training models predicting different aspects of users' health and well-being. Examples include correlations between TV usage and mental health [37], early detection of dementia [21], or assessing well-being based on users' daily activities [19]. Many studies evaluated accuracy, reliability (e.g., [26], [32], [48]), or feasibility (e.g., [23], [28], [56]) of using the smart home devices.…”
Section: Sensor/ Devicementioning
confidence: 99%