Abstract
As the problem of the increased number of elderly people and the decreased number of children in Japan has arisen recently, the development of robot partner and intelligent room for monitoring and measurement system has become a main topic. 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. First of all, we have to generate detail lifelog. We define lifelog composed of daily human behavior. In this paper, first, we show different types of classification methods for human activity. We explain our computation model for elderly care. Next, we introduce several human behavior measurement methods for lifelog. And we show lifelog generation in indoor, outdoor and by using robot partner. Finally, we discuss the effectiveness of the proposed methods and future works.
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Tang, D., Kubota, N. (2019). Lifelog Generation Based on Informationally Structured Space. In: Yu, H., Liu, J., Liu, L., Ju, Z., Liu, Y., Zhou, D. (eds) Intelligent Robotics and Applications. ICIRA 2019. Lecture Notes in Computer Science(), vol 11742. Springer, Cham. https://doi.org/10.1007/978-3-030-27535-8_11
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DOI: https://doi.org/10.1007/978-3-030-27535-8_11
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