| Presentation | 2002/3/11 Gesture Recognition based on multiple Self-Organizing Maps Naohiro SASAKI, Msumi ISHIKAWA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In gesture recognition, recognition as well as segmentation are important. In this paper motion capture and DataGloves are used to measure shapes of a body, hands and fingers. Self-organizing maps are used in the recognition because they can tolerate variations of spatio-temporal data. A comparison is carried out between the use of one self-organizing map and 3 self-organizing maps for representing spatio-temporal information. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | self-organizing map / gesture recognition / segmentation / dataglove / motion capture |
| Paper # | NC2001-144 |
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| Conference Information | |
| Committee | NC |
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| Conference Date | 2002/3/11(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Vice Chair | |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Gesture Recognition based on multiple Self-Organizing Maps |
| Sub Title (in English) | |
| Keyword(1) | self-organizing map |
| Keyword(2) | gesture recognition |
| Keyword(3) | segmentation |
| Keyword(4) | dataglove |
| Keyword(5) | motion capture |
| 1st Author's Name | Naohiro SASAKI |
| 1st Author's Affiliation | Graduate School of Computer Science and Systems Engineering Kyushu Institute of Technology() |
| 2nd Author's Name | Msumi ISHIKAWA |
| 2nd Author's Affiliation | Graduate School of Life Science and Systems Engineering Kyushu Institute of Technology |
| Date | 2002/3/11 |
| Paper # | NC2001-144 |
| Volume (vol) | vol.101 |
| Number (no) | 735 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |