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sEMG-Based Continuous Hand Action Prediction by Using Key State Transition and Model Pruning.

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第一作者： Kaikui,Zheng

第一单位： School of Advanced Manufacturing, Fuzhou University, Quanzhou 362200, China.

作者： Kaikui,Zheng ^[1] ; Shuai,Liu ^[1] ; Jinxing,Yang ^[2] ; Metwalli,Al-Selwi ^[2] ; Jun,Li ^[2]

作者单位： School of Advanced Manufacturing, Fuzhou University, Quanzhou 362200, China. ^[1] Quanzhou Institute of Equipment Manufacturing, Chinese Academy of Sciences, Quanzhou 362216, China. ^[2]

关键词 GMM-HMMs continuous two-hand action prediction key state transition model pruning sEMG sliding window

医学主题词人类(Humans);肌电描记术(Electromyography);手(Hand);上肢(Upper Extremity);运动(Motion)(Motion)

DOI 10.3390/s22249949

PMID 36560318

发布时间 2022-12-27

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Sensors (Basel, Switzerland)

2022年22卷24期

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sEMG-Based Continuous Hand Action Prediction by Using Key State Transition and Model Pruning.

Sensors (Basel, Switzerland)

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sEMG-Based Continuous Hand Action Prediction by Using Key State Transition and Model Pruning.

Sensors (Basel, Switzerland)

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