arXiv — cs.AI preprintsInternational12 October 2026
MyoSem: Aligning Electromyography with Natural-Language Action Semantics
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arXiv:2606.00174v2 Announce Type: replace-cross Abstract: Electromyography (EMG) records muscle activation for hand gesture recognition, prosthetic control, and wearable interaction. Existing EMG methods usually formulate hand action understanding as prediction over fixed gesture labels, leaving EMG signals and action-semantic text unaligned in a common feature space and limiting bidirectional querying between signals and hand-action descriptions. We present MyoSem, an EMG--action semantic alignment framework that maps hand EMG and multi-view natural-language action descriptions into a shared
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