Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification

In recent years, significant strides in deep learning have propelled the advancement of electromyography (EMG)-based upper-limb gesture recognition systems, yielding notable successes across a spectrum of domains, including rehabilitation, orthopedics, robotics, and human-computer interaction. Despi...

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Váldodahkkit:	Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao
Materiálatiipa:	Artigo
Giella:	Inglês
Almmustuhtton:	IEEE 2025-01-01
Ráidu:	IEEE Transactions on Neural Systems and Rehabilitation Engineering
Fáttát:	Explainable AI generalizability graph neural network graph representation hand gesture classification surface electromyography
Liŋkkat:	https://ieeexplore.ieee.org/document/10818442/
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