Low-cost and commodity off-the-shelf surface electromyographs (COTS sEMGs) may be used for unobtrusive detection of human hand gestures. Although these EMG signals are not as detailed as conventional ones, an experimental investigation of feature engineering and classification reveals that they can yield accurate hand gesture information.


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    Titel :

    Hand Gestures from Low-Cost Surface-Electromyographs


    Beteiligte:


    Erscheinungsdatum :

    2019-07-01


    Format / Umfang :

    2085729 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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