Subunit modeling for Japanese sign language recognition based on stochastic model
| Project/Area Number |
22500506
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Rehabilitation science/Welfare engineering
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| Research Institution | Nagoya Institute of Technology |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
SAKO Shinji 名古屋工業大学, 工学研究科, 助教 (30396791)
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| Project Period (FY) |
2010 – 2012
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| Project Status |
Completed (Fiscal Year 2012)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2012: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2011: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2010: ¥2,470,000 (Direct Cost: ¥1,900,000、Indirect Cost: ¥570,000)
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| Keywords | ヒューマンインターフェース / 手話認識 / 手話動作サブユニット / 連続手話認識 / 隠れマルコフモデル / 手話データベース / TOF カメラ / 音韻構造 / クラスタリング |
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| Research Abstract |
In this study, an important issue for modeling sign is that how to determine the constituent element of sign (i.e., subunit) like "phoneme" in spoken language. We focused on special feature of sign language that Japanese sign language is composed of three types of phonological elements which is hand local information, position, and movement. In this paper, we propose an efficiently method of generating subunit using multi-stream HMM which is correspond to phonological elements. 100 and 307 isolated sign recognition experiment has confirmed the effectiveness of our proposed method.
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Report
(4 results)
Research Products
(23 results)
