Open AccessAssessing the Mobility of Elderly People in Domestic Smart Home Environments
Author(s) -
Björn Friedrich,
Enno-Edzard Steen,
Sebastian Fudickar,
Andreas Hein
Publication year - 2020
Publication title -
computer science and information technology ( cs and it )
Language(s) - English
Resource type - Conference proceedings
DOI - 10.5121/csit.2020.101911
Subject(s) - tinetti test , correlation , motion sensors , computer science , geriatrics , motion (physics) , elderly people , physical medicine and rehabilitation , battery (electricity) , battery capacity , medicine , gerontology , artificial intelligence , gait , power (physics) , physics , geometry , mathematics , quantum mechanics , psychiatry
A continuous monitoring of the physical strength and mobility of elderly people is important for maintaining their health and treating diseases at an early stage. However, frequent screenings by physicians are exceeding the logistic capacities. An alternate approach is the automatic and unobtrusive collection of functional measures by ambient sensors. In the current publication, we show the correlation among data of ambient motion sensors and the wellestablished mobility assessment Short-Physical-Performance-Battery and Tinetti. We use the average number of motion sensor events for correlation with the assessment scores. The evaluation on a real-world dataset shows a moderate to strong correlation with the scores of standardised geriatrics physical assessments.