Prediction and classification of sEMG-based pinch force between different fingers-Reference-Cited by-同舟云学术

Prediction and classification of sEMG-based pinch force between different fingers

Published:2024-03 Issue: Volume:237 Page:121635
ISSN:0957-4174
Container-title:Expert Systems with Applications
language:en
Short-container-title:Expert Systems with Applications

Author:

Wu Yansheng^ORCID,Liang Shili^ORCID,Ma Yongkai^ORCID,Li Bowen^ORCID

Funder

Department of Science and Technology of Jilin Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference65 articles.

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3. Performance comparison of artificial neural network and Gaussian mixture model in classifying hand motions by using sEMG signals;Baspinar;Biocybernetics and Biomedical Engineering,2013

4. A hand-modeled feature extraction-based learning network to detect grasps using sEMG signal;Baygin;Sensors,2022

5. Stable responsive EMG sequence prediction and adaptive reinforcement with temporal convolutional networks;Betthauser;I.E.E.E. Transactions on Bio-Medical Engineering,2019

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