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

Peter T. Szemes, Takeshi Sasaki, Hideki Hashimoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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
Title of host publicationIEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM
Pages1227-1232
Number of pages6
Volume2
Publication statusPublished - 2005
Externally publishedYes
EventProceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005 - Monterey, CA
Duration: 2005 Jul 242005 Jul 28

Other

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

Fingerprint

Fuzzy neural networks
Mobile agents
CCD cameras
Experiments

Keywords

  • Intelligent Space
  • Neuro-Fuzzy Robot Control

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Szemes, P. T., Sasaki, T., & Hashimoto, H. (2005). Mobile agent in the intelligent space which can learn human walking behavior. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM (Vol. 2, pp. 1227-1232). [WA4-04]

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

IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. Vol. 2 2005. p. 1227-1232 WA4-04.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Szemes, PT, Sasaki, T & Hashimoto, H 2005, Mobile agent in the intelligent space which can learn human walking behavior. in IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. vol. 2, WA4-04, pp. 1227-1232, Proceedings of the 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM 2005, Monterey, CA, 05/7/24.
Szemes PT, Sasaki T, Hashimoto H. Mobile agent in the intelligent space which can learn human walking behavior. In IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. Vol. 2. 2005. p. 1227-1232. WA4-04
Szemes, Peter T. ; Sasaki, Takeshi ; Hashimoto, Hideki. / Mobile agent in the intelligent space which can learn human walking behavior. IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM. Vol. 2 2005. pp. 1227-1232
@inproceedings{dbe91fcfc9d54ad081c294f4ff42deb3,
title = "Mobile agent in the intelligent space which can learn human walking behavior",
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.",
keywords = "Intelligent Space, Neuro-Fuzzy Robot Control",
author = "Szemes, {Peter T.} and Takeshi Sasaki and Hideki Hashimoto",
year = "2005",
language = "English",
volume = "2",
pages = "1227--1232",
booktitle = "IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM",

}

TY - GEN

T1 - Mobile agent in the intelligent space which can learn human walking behavior

AU - Szemes, Peter T.

AU - Sasaki, Takeshi

AU - Hashimoto, Hideki

PY - 2005

Y1 - 2005

N2 - 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.

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.

KW - Intelligent Space

KW - Neuro-Fuzzy Robot Control

UR - http://www.scopus.com/inward/record.url?scp=27644495967&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=27644495967&partnerID=8YFLogxK

M3 - Conference contribution

VL - 2

SP - 1227

EP - 1232

BT - IEEE/ASME International Conference on Advanced Intelligent Mechatronics, AIM

ER -