Decomposition approach for hand-pose recognition
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.
Abstract<BR>Ⅰ. INTRODUCTION<BR>Ⅱ. HAND-POSE SUBGROUP CLASSIFIER: [Phase Ⅰ] of Fig. 1<BR>Ⅲ. HAND-POSE CLASSIFIER: [Phase Ⅱ] of Fig. 1<BR>Ⅳ. EXPERIMENTAL RESULTS<BR>Ⅴ. APPLICATIONS<BR>Ⅵ. CONCLUSION<BR>ACKNOWLEDGEMENTS<BR>REFERENCES<BR>
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