Accumulation and summarization of human daily action data in one-room-type sensing system

Abstract

Since human behavior patterns vary from person to person, computers have to understand someone's personal behavior in order to supply him with a robotic support system for his daily life. It is necessary to know his behavior over the long term. The ideal intelligent support system can measure the data about human actions in the daily life, accumulate them, understand the behavior and the patterns thereof, and adapt thereto. An accumulation and summarization system of human daily action data based on sensing in 1 room, Robotic Room II, is designed and the accumulation system integrating with the measurement parts is implemented. It is confirmed that accumulation over the long term is possible by experiments for accumulation of human action data in ordinary life. Moreover, as the first step of an analysis of the accumulated data, a summarization algorithm based on the changes of the room states is proposed. It is confirmed that the summarized data enables us to catch the most of the changes of the room states. Finally, a possibility of application for life monitoring by means of summarization is also illustrated.