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TV Interaction as a Non-Invasive Sensor for Monitoring Elderly Well-Being at Home.
Abreu, Jorge; Oliveira, Rita; Garcia-Crespo, Angel; Rodriguez-Goncalves, Roxana.
  • Abreu J; DigiMedia, Department of Communication and Art, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal.
  • Oliveira R; DigiMedia, Department of Communication and Art, Campus Universitário de Santiago, University of Aveiro, 3810-193 Aveiro, Portugal.
  • Garcia-Crespo A; Innovation Promotion and Technological Development Institute, University Carlos III of Madrid, 28911 Leganes, Spain.
  • Rodriguez-Goncalves R; Innovation Promotion and Technological Development Institute, University Carlos III of Madrid, 28911 Leganes, Spain.
Sensors (Basel) ; 21(20)2021 Oct 18.
Article in English | MEDLINE | ID: covidwho-1480939
ABSTRACT
The number of technical solutions to remotely monitoring elderly citizens and detecting hazard situations has been increasing in the last few years. These solutions have dual

purposes:

to provide a feeling of safety to the elderly and to inform their relatives about potential risky situations, such as falls, forgotten medication, and other unexpected deviations from daily routine. Most of these solutions are based on IoT (Internet of Things) and dedicated sensors that need to be installed at the elderly's houses, hampering mass adoption. This justifies the search for non-invasive technical alternatives with smooth integration that relying only on existent devices, without the need for any additional installations. Therefore, this paper presents the SecurHome TV ecosystem, a technical solution based on the elderly's interactions with their TV sets-one of the most used devices in their daily lives-acting as a non-invasive sensor enabling one to detect potential hazardous situations through an elaborated warning algorithm. Thus, this paper describes in detail the SecurHome TV ecosystem, with special emphasis on the warning algorithm, and reports on its validation process. We conclude that notwithstanding some constraints while setting the user's pattern, either upon the cold start of the application or after an innocuous change in the user's TV routine, the algorithm detects most hazardous situations contributing to monitor elderly well-being at home.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Accidental Falls / Ecosystem Type of study: Prognostic study Limits: Aged / Humans Language: English Year: 2021 Document Type: Article Affiliation country: S21206897

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Accidental Falls / Ecosystem Type of study: Prognostic study Limits: Aged / Humans Language: English Year: 2021 Document Type: Article Affiliation country: S21206897