Social rhythm management support system based on Informationally Structured Space

Recently, the number of elderly people living alone is increasing and has become a serious problem in Japan. On the other hand, the stability of both social rhythm and biological rhythm is very important for extension of healthy life expectancy. It is difficult for elderly people to understand the current stability of social rhythm and biological rhythm in daily life. Therefore, we propose several visualization and management systems based on daily life monitoring. First, we explain a measurement method of human daily life logs. Next, we show a social rhythm management support system based on three different types of classification methods, such as (1) ICF (International Classification of Functioning, Disability and Health), (2) NHK (Nippon Hoso Kyokai) Activity classification, and (3) Social Rhythm Metric (SRM). Finally, we discuss the effectiveness of the proposed methods and future works.

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