| Presentation | 2002/5/17 Human Motion Recognition Based on Association Rules from Motion Data Takaki MORI, Kuniaki UEHARA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we will propose 3 approaches to recognize human motion automatically. First, we will propose the method to extract association rules which represent the features of the motion from motion data. Next, in order to segment the motion data basad on contains, we will propose the segmentation method using the cepstrum that is known by voice recongniton domain. Finally, we will propose the recognition method not to use segmentation method, matching input data and model data by using RIFCDP. However, to match all body parts costs a lot of running time, so we will try to reduce running time with group. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | motion capture / motion recognition / association rule / primitive motion |
| Paper # | AI2002-2 |
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| Conference Information | |
| Committee | AI |
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| Conference Date | 2002/5/17(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Human Motion Recognition Based on Association Rules from Motion Data |
| Sub Title (in English) | |
| Keyword(1) | motion capture |
| Keyword(2) | motion recognition |
| Keyword(3) | association rule |
| Keyword(4) | primitive motion |
| 1st Author's Name | Takaki MORI |
| 1st Author's Affiliation | Faculty of Engineering, Kobe University() |
| 2nd Author's Name | Kuniaki UEHARA |
| 2nd Author's Affiliation | Faculty of Engineering, Kobe University |
| Date | 2002/5/17 |
| Paper # | AI2002-2 |
| Volume (vol) | vol.102 |
| Number (no) | 91 |
| Page | pp.pp.- |
| #Pages | 6 |
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