Forearm EMG signals precede visible RPS gestures by hundreds of milliseconds and enable 63.4% accuracy for posed gestures plus 65% peak accuracy for inferring gestures from opponent reactions.
Fusion-based Spatiotemporal Convolutions with Constant Temporal Snapshots for Sign Language Recognition,
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Temporal Posed and Spontaneous Gesture Recognition from Electromyography in the Rock-Paper-Scissors Game
Forearm EMG signals precede visible RPS gestures by hundreds of milliseconds and enable 63.4% accuracy for posed gestures plus 65% peak accuracy for inferring gestures from opponent reactions.