| Presentation | 2019-02-08 Study on sign language recognition using machine learning Yuta Takahashi, Tsutomu Kimura, Kazuyuki Kanda, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Our purpose is to recognize kinetic movements in sign language through machine learning which consists of a recurrent neural network. The signs examined were 101 signs in Sign Language Proficiency Test Grade 6, played by 12 examinees for several times. The total number of the data was 7,763. The data were the trajectories of X and Y axes of the wrist, the elbow, the shoulder of each side. Approximately 90% of the data were taken as learning data and the rest were to evaluate our neural network. As a result of cross validation, the accuracy was about 75%. The false recognitions were supposed to occur by similarity of the signs. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | sign language / machine learning / deep learning / cross validation |
| Paper # | WIT2018-60 |
| Date of Issue | 2019-01-31 (WIT) |
| Conference Information | |
| Committee | WIT / ASJ-H |
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| Conference Date | 2019/2/7(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Ehime Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Psychological and Physiological Acoustics and Well-being Information Technology, etc. |
| Chair | Chikamune Wada(Kyushu Inst. of Tech.) / Kenji Ozawa(Yamanashi Univ.) |
| Vice Chair | Daisuke Wakatsuki(Tsukuba Univ. of Tech.) / Seiji Nakagawa(Chiba Univ.) |
| Secretary | Daisuke Wakatsuki(AIST) / Seiji Nakagawa(Nagoya Inst. of Tech.) |
| Assistant | Manabi Miyagi(Tsukuba Univ. of Tech.) / Takeaki Shionome(Teikyo Univ.) / Takashi Handa(Saitama Industrial Tech. Center) |
| Paper Information | |
| Registration To | Technical Committee on Well-being Information Technology / Auditory Research Meeting |
|---|---|
| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Study on sign language recognition using machine learning |
| Sub Title (in English) | |
| Keyword(1) | sign language |
| Keyword(2) | machine learning |
| Keyword(3) | deep learning |
| Keyword(4) | cross validation |
| 1st Author's Name | Yuta Takahashi |
| 1st Author's Affiliation | National Institute of Technology, Toyota College(NITTC) |
| 2nd Author's Name | Tsutomu Kimura |
| 2nd Author's Affiliation | National Institute of Technology, Toyota College(NITTC) |
| 3rd Author's Name | Kazuyuki Kanda |
| 3rd Author's Affiliation | National Museum of Ethnology(Minpaku) |
| Date | 2019-02-08 |
| Paper # | WIT2018-60 |
| Volume (vol) | vol.118 |
| Number (no) | WIT-440 |
| Page | pp.pp.59-64(WIT), |
| #Pages | 6 |
| Date of Issue | 2019-01-31 (WIT) |