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    National Tsing Hua University Institutional Repository > 電機資訊學院 > 電機工程學系 > 會議論文  >  The model-based dynamic hand posture identification using genetic algorithm


    Please use this identifier to cite or link to this item: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/69543


    Title: The model-based dynamic hand posture identification using genetic algorithm
    Authors: Cheng-Chang Lien;Chung-Lin Huang
    教師: 黃仲陵
    Date: 1997
    Publisher: Springer Verlag
    Relation: Lecture Notes In Computer Science, Volume 1351, Proceedings of the Third Asian Conference on Computer Vision, Volume I, 1998, Pages 706 - 713
    Keywords: genetic algorithms
    image recognition
    Abstract: This paper proposes a genetic-based hand posture identification system which consists of an efficient model fitting method and a labeling technique. The model fitting method consists of (1) finding the closed form inverse kinematics solution, (2) defining the alignment measure, and (3) developing a genetic-based dynamic posture fitting process. Different from the conventional computation intensive hand model fitting methods, we develop (1) an off-line training process which uses the inverse-kinematics to find the closed-form solution function, and (2) a fast on-line model-based hand posture identification process. In the experiments, we will illustrate that our genetic-based hand posture identification system is effective and real-time implementable.
    Relation Link: http://www.springerlink.com/
    URI: http://nthur.lib.nthu.edu.tw/dspace/handle/987654321/69543
    Appears in Collections:[電機工程學系] 會議論文

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