A novel concatenate feature fusion RCNN architecture for sEMG-based hand gesture recognition
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DOI: 10.1371/journal.pone.0262810
Abstract: Hand gesture recognition tasks based on surface electromyography (sEMG) are vital in human-computer interaction, speech detection, robot control, and rehabilitation applications. However, existing models, whether traditional machine learnings (ML) or other state-of-the-arts, are limited in… read more here.
Keywords: cff rcnn; hand; feature fusion; rcnn ... See more keywords