The paper presents a new hand shape representation technique that characterises the finger-only topology of the hand, by adapting an existing technique from speech signal processing. From a moving hand sequence, the tracking algorithm determines the centre of the largest convex subset of the hand, using a combination of pattern matching and condensation algorithms. A hand shape feature represents the topological formation of the finger-only regions of the hand using a linear predictive coding parameter set called cepstral coefficients. Experimental results demonstrate the effectiveness of detecting the shape feature from motion sequences.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Recognising moving hand shapes


    Contributors:
    Holden, E.-J. (author) / Owens, R. (author)


    Publication date :

    2003-01-01


    Size :

    472660 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Recognising Moving Hand Shapes

    Holden, E. / Owens, R. / IEEE | British Library Conference Proceedings | 2003


    Tracking and recognising hand gestures, using statistical shape models

    Ahmad, T. / Taylor, C. J. / Lanitis, A. et al. | British Library Online Contents | 1997


    Recognising panoramas

    Brown, / Lowe, | IEEE | 2003


    Recognising Panoramas

    Brown, M. / Lowe, D. / IEEE | British Library Conference Proceedings | 2003


    Recognising occluded speech

    Cooke, M. / Morris, A. / Green, P. | British Library Conference Proceedings | 1996