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

Peter T. Szemes, Takeshi Sasaki, Hideki Hashimoto

Research output: Contribution to conferencePaper

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages1227-1232
Number of pages6
Publication statusPublished - 2005 Nov 16
EventProceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005 - Monterey, CA, United States
Duration: 2005 Jul 242005 Jul 28

Conference

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

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Keywords

  • Intelligent Space
  • Neuro-Fuzzy Robot Control

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Software
  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Szemes, P. T., Sasaki, T., & Hashimoto, H. (2005). Mobile agent in the intelligent space which can learn human walking behavior. 1227-1232. Paper presented at Proceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005, Monterey, CA, United States.