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

Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180) Pub Date : 2001-10-29 DOI:10.1109/IROS.2001.976421

Taketoshi Mori, K. Asaki, H. Noguchi, Tomomasa Sato

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引用次数: 26

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.

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单室传感系统中人体日常动作数据的积累与总结

由于人的行为模式因人而异，计算机必须了解人的个人行为，以便为他的日常生活提供机器人支持系统。有必要长期了解他的行为。理想的智能支持系统能够测量、积累人类日常生活中的行为数据，理解人类的行为及其模式，并对其进行适应。设计了基于传感的1室人类日常动作数据积累汇总系统“机器人室II”，并实现了与测量部分集成的积累系统。通过日常生活中人类行为数据的积累实验，证实了长期积累是可能的。此外，作为对累积数据分析的第一步，提出了一种基于房间状态变化的汇总算法。经证实，汇总后的数据能够捕捉到房间状态的大部分变化。最后，通过总结说明了在生命监测中应用的可能性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems. Expanding the Societal Role of Robotics in the the Next Millennium (Cat. No.01CH37180)

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