Partly-Hidden Markov model and its application to gesture recognition

Tetsunori Kobayashi, Satoshi Haruyama

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    37 Citations (Scopus)

    Abstract

    A new pattern matching method, Partly-Hidden Markov model, is proposed for gesture recognition. Hidden Markov Model, which is widely used for the time series pattern recognition, can deal with only piecewise stationary stochastic process. We solved this problem by introducing the modified second order Markov Model, in which the first state is hidden and the second one is observable. As the results of 6 sign-language recognition test, the error rate was improved by 73% compared with normal HMM.

    Original languageEnglish
    Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
    Editors Anon
    PublisherIEEE
    Pages3081-3084
    Number of pages4
    Volume4
    Publication statusPublished - 1997
    EventProceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5) - Munich, Ger
    Duration: 1997 Apr 211997 Apr 24

    Other

    OtherProceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5)
    CityMunich, Ger
    Period97/4/2197/4/24

    Fingerprint

    Gesture recognition
    Hidden Markov models
    Pattern matching
    Random processes
    Pattern recognition
    Time series
    stochastic processes
    pattern recognition

    ASJC Scopus subject areas

    • Signal Processing
    • Electrical and Electronic Engineering
    • Acoustics and Ultrasonics

    Cite this

    Kobayashi, T., & Haruyama, S. (1997). Partly-Hidden Markov model and its application to gesture recognition. In Anon (Ed.), ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 4, pp. 3081-3084). IEEE.

    Partly-Hidden Markov model and its application to gesture recognition. / Kobayashi, Tetsunori; Haruyama, Satoshi.

    ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. ed. / Anon. Vol. 4 IEEE, 1997. p. 3081-3084.

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    Kobayashi, T & Haruyama, S 1997, Partly-Hidden Markov model and its application to gesture recognition. in Anon (ed.), ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. vol. 4, IEEE, pp. 3081-3084, Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP. Part 1 (of 5), Munich, Ger, 97/4/21.
    Kobayashi T, Haruyama S. Partly-Hidden Markov model and its application to gesture recognition. In Anon, editor, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Vol. 4. IEEE. 1997. p. 3081-3084
    Kobayashi, Tetsunori ; Haruyama, Satoshi. / Partly-Hidden Markov model and its application to gesture recognition. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. editor / Anon. Vol. 4 IEEE, 1997. pp. 3081-3084
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