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

Peter T. Szemes; Takeshi Sasaki; Hideki Hashimoto

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

Peter T. Szemes, Takeshi Sasaki, Hideki Hashimoto

Research output: Contribution to conference › Paper › peer-review

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 language	English
Pages	1227-1232
Number of pages	6
Publication status	Published - 2005
Externally published	Yes
Event	Proceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005 - Monterey, CA, United States Duration: 2005 Jul 24 → 2005 Jul 28

Conference

Conference	Proceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005
Country/Territory	United States
City	Monterey, CA
Period	05/7/24 → 05/7/28

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

Mobile agent in the intelligent space which can learn human walking behavior. / Szemes, Peter T.; Sasaki, Takeshi; Hashimoto, Hideki.

2005. 1227-1232 Paper presented at Proceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005, Monterey, CA, United States.

Research output: Contribution to conference › Paper › peer-review

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AB - 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.

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ER -

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

Abstract

Conference

Keywords

ASJC Scopus subject areas

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