Decomposition approach for hand-pose recognition

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This paper presents the recognition of hand-pose by decomposition approach, which is constructed on the hierarchical structure of hand-pose classifiers, and subgroup classifier. With the new method, it is possible to do hand-pose specified recognition with simple structure. To show the effectiveness of the proposed system, experiments were carried out with 32 hand-poses, grouped into 12 subgroups and demonstrated a 96.46% success rate for individual poses.
Publisher
한국과학기술원 인간친화 복지 로봇 시스템 연구센터
Issue Date
2004-04
Language
English
Citation

INTERNATIONAL JOURNAL OF ASSISTIVE ROBOTICS AND SYSTEMS, v.5, no.1, pp.21 - 25

ISSN
2092-5123
URI
http://hdl.handle.net/10203/85958
Appears in Collection
EE-Journal Papers(저널논문)
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