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

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3 Author(s)
P. T. Szemes ; Inst. of Ind. Sci., Tokyo Univ. ; T. Sasaki ; H. Hashimoto

The knowledge of human walking behavior has primary importance for mobile agent in order to operate in the human shared space, with minimal disturbance 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

Published in:

Proceedings, 2005 IEEE/ASME International Conference on Advanced Intelligent Mechatronics.

Date of Conference:

24-28 July 2005