2005 Fiscal Year Final Research Report Summary
FUNDAMENTAL MOTION MODELING FOR GESTURE RECOGNITION OF LARGE VOCABURARY SIZE
| Project/Area Number |
15500107
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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 |
Perception information processing/Intelligent robotics
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| Research Institution | NAGOYA INSTITUTE OF TECHNOLOGY |
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Principal Investigator |
KITAMURA TADASHI NAGOYA INSTITUTE OF TECHNOLOGY, GRADUATE SCHOOL OF ENGINEERING, PROFESSOR, 工学研究科, 教授 (60114865)
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| Co-Investigator(Kenkyū-buntansha) |
TOKUDA KEIICHI NAGOYA INSTITUTE OF TECHNOLOGY, GRADUATE SCHOOL OF ENGINEERING, PROFESSOR, 工学研究科, 教授 (20217483)
GOTO TOMIO NAGOYA INSTITUTE OF TECHNOLOGY, GRADUATE SCHOOL OF ENGINEERING, ASSOCIATE, 工学研究科, 助手 (20324478)
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| Project Period (FY) |
2003 – 2005
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| Keywords | HMM / Japanese sign language / Integration method / Hand extraction / Fundamental motion / Context clustering / コンテキストクラスタリング |
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| Research Abstract |
In this research we have studied following topics and shown effectiveness of the proposed methods.
1.HMM-based Japanese sign language recognition by integrating position and posture information
2.Fast tracking algorithm for hand extraction
3.Fundamental motion modeling by context clustering
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