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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Szemes, P.T. Sasaki, T. Hashimoto, H. |
| Copyright Year | 2005 |
| Description | Author affiliation: Inst. of Ind. Sci., Tokyo Univ. (Szemes, P.T.; Sasaki, T.; Hashimoto, H.) |
| Abstract | 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 |
| Starting Page | 1227 |
| Ending Page | 1232 |
| File Size | 653083 |
| Page Count | 6 |
| File Format | |
| ISBN | 0780390474 |
| DOI | 10.1109/AIM.2005.1511178 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-07-24 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Mobile agents Intelligent agent Humans Legged locomotion Intelligent robots Intelligent sensors Mobile robots Intelligent actuators Orbital robotics Space technology |
| Content Type | Text |
| Resource Type | Article |
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