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Volumn 95, Issue 4, 2011, Pages 365-373

The effect of multiple training sequences on HMM classification of motion capture gesture data

Author keywords

Gesture database; Gesture interface; Gesture recognition; HMM; Vector quantisation

Indexed keywords

GESTURE RECOGNITION; HIDDEN MARKOV MODELS; MOTION ANALYSIS; VECTOR QUANTIZATION;

EID: 84873804993     PISSN: 18675662     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/978-3-642-20320-6_38     Document Type: Article
Times cited : (4)

References (12)
  • 3
    • 77957954869 scopus 로고    scopus 로고
    • A hidden markov modelbased continuous gesture recognition system for hand motion trajectory
    • Elmezain, M., Al Hamadi, A., Appenrodt, J., Michaelis, B.: A hidden markov modelbased continuous gesture recognition system for hand motion trajectory. In: ICPR, pp. 1-4 (2008)
    • (2008) ICPR , pp. 1-4
    • Elmezain, M.1    Al Hamadi, A.2    Appenrodt, J.3    Michaelis, B.4
  • 7
    • 70749115243 scopus 로고    scopus 로고
    • Hidden markov model based gesture recognition on low-cost, low-power tangible user interfaces
    • Elisabetta Farella Piero Zappi, Bojan Milosevic and Luca Benini. Hidden markov model based gesture recognition on low-cost, low-power tangible user interfaces. Entertainment Computing, 1(2):75-78, 2009.
    • (2009) Entertainment Computing , vol.1 , Issue.2 , pp. 75-78
    • Piero Zappi, E.F.1    Milosevic, B.2    Benini, L.3
  • 9
    • 0024610919 scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • Rabiner, L.R.: A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE, 257-286 (1989)
    • (1989) Proceedings of the IEEE , pp. 257-286
    • Rabiner, L.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.