Virtual Reality to Study the Gap Between Offline and Real-Time EMG-based Gesture Recognition

16 Dec 2019Ulysse Côté-AllardGabriel Gagnon-TurcotteAngkoon PhinyomarkKyrre GletteErik SchemeFrançois LavioletteBenoit Gosselin

Within sEMG-based gesture recognition, a chasm exists in the literature between offline accuracy and real-time usability of a classifier. This gap mainly stems from the four main dynamic factors in sEMG-based gesture recognition: gesture intensity, limb position, electrode shift and transient changes in the signal... (read more)

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