Sensing Experiment in a Caregiving Facility for Correlation Analysis of Sleep and Daytime Activities

Moe Matsuki, Sozo Inoue,
ACM Int'l Conf. Pervasive and Ubiquitous Computing (Ubicomp) Poster
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We present that we get experiment for 5 months with 30 resident of a caregiving facility to collect big data and toanalyze of the correlation between sleep and daytime behavior. Analysis of sleep is useful for health care and selfanalysis. However, the exist sleep analysis application does not analyze correlation between sleep and the daytime activities such as what kind of activity affect from sleep, and what kind of activity should be taken to improve sleep quality. That is analysis of correlation between sleep and activities is important but it icollectins difficult to collect both the daytime activities data like "meal" and "toilet" and sleep data over a long period of time . In this paper, we get sensing experiment at the caregiving facility to collect big data for 30 subjects and for 5 months. Furthermore, by collecting care records for subject, it is possible to collect the day-
time activities data. Finally, we analyze the data of five subjects for 26 days, it was found that (1) the sleeping situation can estimate whether users will do daytime exercise is performed with an accuracy of 91% at the maximum (2) It was found that the information of the daytime exercise influences the time which user start of sleep.

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