Extracting human behaviors with infrared sensor network

Seiichi Honda, Ken Ichi Fukui, Koichi Moriyama, Satoshi Kurihara, Masayuki Numao

研究成果: Conference contribution

24 被引用数 (Scopus)

抄録

We consider a framework that learns human habitual behaviors from the data obtained by various kinds of sensors installed in an environment, so that the environment can interact with us based on those patterns. In this paper, we achieved extracting human behaviors by infrared sensor network as an initial step for the framework. Infrared sensor network is able to track us without putting an extra burden on us. Moreover it is able to collect long-term data. However, tracking with it has two problems, that is, link miss and incorrect link. In order to mitigate these problems, we propose the tracking method utilizing estimated "time distances" between sensors from movements' records. We have installed infrared sensor network in our laboratory, and validated the proposed tracking method by test courses. Afterwards, we confirmed that human behaviors can be extracted from longterm data.

本文言語English
ホスト出版物のタイトル4th International Conference on Networked Sensing Systems, INSS
ページ122-125
ページ数4
DOI
出版ステータスPublished - 2007 12 1
外部発表はい
イベント4th International Conference on Networked Sensing Systems, INSS - Braunschweig, Germany
継続期間: 2007 6 62007 6 8

出版物シリーズ

名前4th International Conference on Networked Sensing Systems, INSS

Other

Other4th International Conference on Networked Sensing Systems, INSS
CountryGermany
CityBraunschweig
Period07/6/607/6/8

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering

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