| Presentation | 2011-01-22 Sign Language Recognition from Video Using Particle Filter and Hidden Markov Model Iori SUZUKI, Yosuke NISHIMURA, Yasuo HORIUCHI, Shingo KUROIWA, |
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| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we will introduce a sign language recognition method from video data. First, the positions of arms are detected using Particle Filter. Second, sign sentences are recognized using Hidden Markov Model. In the previous study using motion tracking sensors attached to both hands, the recognition rate was 91.7%. In our method using video data only, the recognition rate 90.0% was accomplished without any sensors. For the practical applications, motion tracking sensors are expensive and cause uncomfortable feeling, but our method needs only one video camera and is considered more useful. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Sign Language Recognition / Particle Filter / Hidden Markov Model |
| Paper # | WIT2010-61 |
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| Conference Information | |
| Committee | WIT |
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| Conference Date | 2011/1/15(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | |
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| Paper Information | |
| Registration To | Well-being Information Technology(WIT) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Sign Language Recognition from Video Using Particle Filter and Hidden Markov Model |
| Sub Title (in English) | |
| Keyword(1) | Sign Language Recognition |
| Keyword(2) | Particle Filter |
| Keyword(3) | Hidden Markov Model |
| 1st Author's Name | Iori SUZUKI |
| 1st Author's Affiliation | Chiba University() |
| 2nd Author's Name | Yosuke NISHIMURA |
| 2nd Author's Affiliation | Chiba University |
| 3rd Author's Name | Yasuo HORIUCHI |
| 3rd Author's Affiliation | Chiba University |
| 4th Author's Name | Shingo KUROIWA |
| 4th Author's Affiliation | Chiba University |
| Date | 2011-01-22 |
| Paper # | WIT2010-61 |
| Volume (vol) | vol.110 |
| Number (no) | 384 |
| Page | pp.pp.- |
| #Pages | 6 |
| Date of Issue | |