Mobile agent in the intelligent space which can learn human walking behavior

Peter T. Szemes, Takeshi Sasaki, Hideki Hashimoto

研究成果査読

4 被引用数 (Scopus)

抄録

The knowledge of human walking behavior has primary Importance for mobile agent in order to operate in the human shared space, with minimal disturb of other humans. This paper introduces such an observation and learning framework, which can acquire the human walking behavior from observation of human walking, using CCD cameras of the Intelligent Space. The proposed behavior learning framework applies Fuzzy-Neural Network to approximate observed human behavior, with observation data clustering in order to extract important training data from observation. Preliminary experiment is shown to demonstrate the merit of the introduced behavior.

本文言語English
ページ1227-1232
ページ数6
出版ステータスPublished - 2005
外部発表はい
イベントProceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005 - Monterey, CA, United States
継続期間: 2005 7 242005 7 28

Conference

ConferenceProceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005
国/地域United States
CityMonterey, CA
Period05/7/2405/7/28

ASJC Scopus subject areas

  • 制御およびシステム工学
  • ソフトウェア
  • コンピュータ サイエンスの応用
  • 電子工学および電気工学

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