Mobility Information Analysis System for Human Life Support

Abstract

The average life expectancy of human beings is increasing year by year due to advances in science and technology, and while it is said that the era of 120-year life expectancy will eventually arrive, the decline in cognitive and motor skills and the shortage of human resources for caregiving have become problems. On the other hand, in the ultra-smart society of Society 5.0 proposed by the Cabinet Office, it is expected that "coexistence between humans and robots". In this way, in the era of 120 years of life, human life support by robots is important. Based on this background, we have constructed a trailer-type living laboratory and are conducting research and development of a life support system that uses stationary sensors and mobile robots to measure human daily life activities, estimate intentions, and support, maintain, and improve behavior. However, this doesn't have system that can collect, accumulate, and analyze from the history of robot and human actions. In this paper, we discuss the effectiveness of this system in terms of real-time performance by predicting movement based on the phase structure of movement history as an example of analysis.