In this paper, a sparsity-driven method of micro-Doppler analysis is proposed for dynamic hand gesture recognition with radar sensors. First, sparse representations of the echoes reflected from dynamic hand gestures are achieved through the Gaussian-windowed Fourier dictionary. Second, the micro-Doppler features of dynamic hand gestures are extracted using the orthogonal matching pursuit algorithm. Finally, the nearest neighbor classifier is combined with the modified Hausdorff distance to recognize dynamic hand gestures based on the sparse micro-Doppler features. Experiments with real radar data show that the recognition accuracy produced by the proposed method exceeds 96% under moderate noise, and the proposed method outperforms the approaches based on principal component analysis and deep convolutional neural network with small training dataset.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Sparsity-Driven Micro-Doppler Feature Extraction for Dynamic Hand Gesture Recognition


    Beteiligte:
    Gang Li, (Autor:in) / Rui Zhang, (Autor:in) / Ritchie, Matthew (Autor:in) / Griffiths, Hugh (Autor:in)


    Erscheinungsdatum :

    2018-04-01


    Format / Umfang :

    970192 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Classification of micro-Doppler radar hand-gesture signatures by means of Chebyshev moments

    Pallotta, Luca / Cauli, Michela / Clemente, Carmine et al. | IEEE | 2021


    A Real-Time Applicable Dynamic Hand Gesture Recognition Framework

    Kopinski, Thomas / Gepperth, Alexander / Handmann, Uwe | IEEE | 2015


    Heterogeneous hand gesture recognition using 3D dynamic skeletal data

    De Smedt, Quentin / Wannous, Hazem / Vandeborre, Jean-Philippe | British Library Online Contents | 2019


    Real-Time Hand Gesture Recognition for Robot Hand Interface

    Lv, X. / Xu, Y. / Wang, M. | British Library Conference Proceedings | 2014


    Real-Time Hand Gesture Recognition for Robot Hand Interface

    Lv, Xiaomeng / Xu, Yulin / Wang, Ming | Springer Verlag | 2014