scholarly journals Monitoring Activities of Daily Living Using Audio Analysis and a RaspberryPI: A Use Case on Bathroom Activity Monitoring

2017 ◽  
pp. 20-32 ◽  
Author(s):  
Georgios Siantikos ◽  
Theodoros Giannakopoulos ◽  
Stasinos Konstantopoulos
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Activity Monitoring ◽  
Use Case ◽  
Audio Analysis ◽  
Monitoring Activities

Monitoring Activities of Daily Living in Smart Homes: Understanding human behavior

2016 ◽  
Vol 33 (2) ◽  
pp. 81-94 ◽  
Author(s):  
Christian Debes ◽  
Andreas Merentitis ◽  
Sergey Sukhanov ◽  
Maria Niessen ◽  
Nikolaos Frangiadakis ◽  
...  
Keyword(s):  
Activities Of Daily Living ◽  
Human Behavior ◽  
Daily Living ◽  
Smart Homes ◽  
Monitoring Activities

Activities of daily living detection using home activity monitoring device in Duchenne muscular dystrophy patients

2017 ◽  
Vol 27 ◽  
pp. S233-S234
Author(s):  
A. Moraux ◽  
B. Beaufils ◽  
M. Grelet ◽  
A. Seferian ◽  
E. Gasnier ◽  
...  
Keyword(s):  
Duchenne Muscular Dystrophy ◽  
Muscular Dystrophy ◽  
Activities Of Daily Living ◽  
Daily Living ◽  
Activity Monitoring ◽  
Monitoring Device

Recognition of Instrumental Activities of Daily Living in Egocentric Video for Activity Monitoring of Patients with Dementia

2015 ◽  
pp. 161-178 ◽  
Author(s):  
Iván González-Díaz ◽  
Vincent Buso ◽  
Jenny Benois-Pineau ◽  
Guillaume Bourmaud ◽  
Gaelle Usseglio ◽  
...  
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Activity Monitoring ◽  
Instrumental Activities

scholarly journals Monitoring Activities of Daily Living Using UWB Radar Technology: A Contactless Approach

IoT ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 320-336
Author(s):  
Sindre Klavestad ◽  
Gebremariam Assres ◽  
Siri Fagernes ◽  
Tor-Morten Grønli
Keyword(s):  
Activities Of Daily Living ◽  
Daily Living ◽  
Smart Home ◽  
Wearable Sensors ◽  
Ultra Wideband ◽  
Activity Levels ◽  
Proof Of Concept ◽  
Abnormal Behaviour ◽  
Uwb Radar ◽  
Monitoring Activities

In recent years, the ultra-wideband (UWB) radar technology has shown great potential in monitoring activities of daily living (ADLs) for smart homes. In this paper, we investigate the significance of using non-wearable UWB sensors for developing non-intrusive, unobtrusive, and privacy-preserving monitoring of elderly ADLs. A controlled experiment was setup, implementing multiple non-wearable sensors in a smart home Lab setting. A total of nine (n = 9) participants were involved in conducting predefined scenarios of ADLs- cooking, eating, resting, sleeping and mobility. We employed the UWB sensing prototype and conventional implementation technologies, and the sensed data of both systems were stored, analysed and their performances were compared. The result shows that the performance of the non-wearable UWB technology is as good as that of the conventional ones. Furthermore, we provided a proof-of-concept solution for the real-time detection of abnormal behaviour based on excessive activity levels, and a model for automatic alerts to caregivers for timely medical assistance on-demand.

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