Gesture Recognition by Ensemble Extreme Learning Machine Based on Surface Electromyography Signals

• Published in: Frontiers in human neuroscience Vol. 16; p. 911204
• Main Authors: Peng, Fulai, Chen, Cai, Lv, Danyang, Zhang, Ningling, Wang, Xingwei, Zhang, Xikun, Wang, Zhiyong
• Format: Journal Article
• Language: English
• Published: Lausanne Frontiers Research Foundation 16.06.2022; Frontiers Media S.A
• Subjects: Accuracy; Classification; Datasets; Deep learning; Discriminant analysis; Electromyography; Experiments; extreme learning machine; feature selection; gesture recognition; Human Neuroscience; Learning algorithms; Machine learning; Neural networks; sEMG signal; Support vector machines; Time series; Wavelet transforms

In the recent years, gesture recognition based on the surface electromyography (sEMG) signals has been extensively studied. However, the accuracy and stability of gesture recognition through traditional machine learning algorithms are still insufficient to some actual application scenarios. To enhan...