首页|Researchers from University of Science and Technology of China Discuss Findings in Networks (Cross-User Electromyography Pattern Recognition Based on a Novel Spatial-Temporal Graph Convolutional Network)
Researchers from University of Science and Technology of China Discuss Findings in Networks (Cross-User Electromyography Pattern Recognition Based on a Novel Spatial-Temporal Graph Convolutional Network)
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By a News Reporter-Staff News Editor at Network Daily News - A new studyon networks is now available. According to news reporting from Hefei, People’s Republic of China, byNewsRx journalists, research stated, “With the goal of promoting the development of myoelectric controltechnology, this paper focuses on exploring graph neural network (GNN) based robust electromyography(EMG) pattern recognition solutions.”Financial supporters for this research include National Natural Science Foundation of China.
University of Science and Technology of ChinaHefeiPeople’s Republic of ChinaAsiaNetworksNeural NetworksTechnology
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