MyoSem: Aligning Electromyography to Natural-Language Action Semantics for Hand Action Understanding 事件

MyoSem: Aligning Electromyography to Natural-Language Action Semantics for Hand Action Understanding arXiv:2606.00174v1 Announce Type: new Abstract: Electromyography (EMG) directly reflects muscle activation and is a key sensing modality for gesture recognition, prosthetic control, and wearable interaction. Existing EMG methods, however, commonly formulate hand action understanding as classification over fixed labels, making it difficult to support querying, retrieval, and generalization based