| Presentation | 2011/7/7 People Identification Based on Sitting Patterns NGUYEN GIA, JIN NAKAZAWA, KAZUNORI TAKASHIO, HIDEYUKI TOKUDA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | This paper provide a people identification method based on the sitting patterns. This method uses weak evidences from pressure sensor, accelerometer sensor, and light sensor placed on a chair to recognize who is sitting on the chair without any psychological and physical burden on users. We propose how we have implemented the system using softmax regression model, gradient descent algorithm and nearest neighbor search algorithm. Our experimental result show that this method can be used in places which has private properties such as home or small office. |
| Keyword(in Japanese) | (See Japanese page) |
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| Committee | USN |
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| Conference Date | 2011/7/7(1days) |
| Place (in Japanese) | (See Japanese page) |
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| Topics (in Japanese) | (See Japanese page) |
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| Registration To | Ubiquitous and Sensor Networks(USN) |
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| Language | ENG |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | People Identification Based on Sitting Patterns |
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| 1st Author's Name | NGUYEN GIA |
| 1st Author's Affiliation | Keio University - Faculty of Environment and Information Studies() |
| 2nd Author's Name | JIN NAKAZAWA |
| 2nd Author's Affiliation | Keio University - Faculty of Environment and Information Studies |
| 3rd Author's Name | KAZUNORI TAKASHIO |
| 3rd Author's Affiliation | Keio University - Faculty of Environment and Information Studies |
| 4th Author's Name | HIDEYUKI TOKUDA |
| 4th Author's Affiliation | Keio University - Faculty of Environment and Information Studies |
| Date | 2011/7/7 |
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| Volume (vol) | vol.111 |
| Number (no) | 134 |
| Page | pp.pp.- |
| #Pages | 7 |
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