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  • 标题:Assessing the Mobility of Elderly People in Domestic Smart Home Environments
  • 本地全文:下载
  • 作者:Björn Friedrich ; Enno-Edzard Steen ; Sebastian Fudickar
  • 期刊名称:Computer Science & Information Technology
  • 电子版ISSN:2231-5403
  • 出版年度:2020
  • 卷号:10
  • 期号:19
  • 页码:123-135
  • DOI:10.5121/csit.2020.101911
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要: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.
  • 关键词:ubiquitous computing ;biomedical informatics ;health ;correlation ;piecewise linear approximation.
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