Open AccessEnabling active and healthy ageing decision support systems with the smart collection of TV usage patterns
Author(s) -
Billis Antonis S.,
Batziakas Asterios,
Bratsas Charalampos,
Tsatali Marianna S.,
Karagianni Maria,
Bamidis Panagiotis D.
Publication year - 2016
Publication title -
healthcare technology letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.45
H-Index - 19
ISSN - 2053-3713
DOI - 10.1049/htl.2015.0056
Subject(s) - computer science , home automation , data collection , smart environment , smart device , software , promotion (chess) , decision support system , multimedia , human–computer interaction , telecommunications , world wide web , internet of things , artificial intelligence , statistics , mathematics , politics , political science , law , programming language
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 patterns and subsequently associate them with clinical findings of experts. The smart TV operating state remote monitoring system was installed in four elderly women homes and gathered data for more than 11 months. Results suggest that TV daily usage (time the TV is turned on) can predict mental health change. Conclusively, the authors suggest that collection of smart device usage patterns could strengthen the inference capabilities of existing health DSSs applied in uncontrolled settings such as real senior homes.