has been cited by the following article(s):
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[1]
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Simple recognition of hand gestures using single-channel EMG signals
Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine,
2024
DOI:10.1177/09544119231225528
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[2]
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Leading-edge pressure gradient effect on boundary layer receptivity to free-stream turbulence
Journal of Fluid Mechanics,
2022
DOI:10.1017/jfm.2022.19
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[3]
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Biomechanical Prosthesis with EMG Signal Acquisition for Patients with Transradial Amputation
2022 IEEE International IOT, Electronics and Mechatronics Conference (IEMTRONICS),
2022
DOI:10.1109/IEMTRONICS55184.2022.9795779
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[4]
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Performance improvement and complexity reduction in the classification of EMG signals with mRMR-based CNN-KNN combined model
Journal of Intelligent & Fuzzy Systems,
2022
DOI:10.3233/JIFS-220811
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[5]
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Comparative Analysis of Efficiency of the Machine Learning Methods for Gesture Recognition Using Double-Channel Electromyography
Journal of Physics: Conference Series,
2021
DOI:10.1088/1742-6596/2134/1/012010
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[6]
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Determining Relevant Features in Activity Recognition Via Wearable Sensors on the MYO Armband
Arabian Journal for Science and Engineering,
2020
DOI:10.1007/s13369-020-04628-x
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[7]
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EMG-based Hand Gesture Recognition by Deep Time-frequency Learning for Assisted Living & Rehabilitation
2020 11th IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference (UEMCON),
2020
DOI:10.1109/UEMCON51285.2020.9298181
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