Related Experiment Video

Updated: May 25, 2025

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision
08:15

Capturing Dynamic Finger Gesturing with High-resolution Surface Electromyography and Computer Vision

Published on: March 28, 2025

368

[Gesture accuracy recognition based on grayscale image of surface electromyogram signal and multi-view convolutional

Qingzheng Chen1, Qing Tao1, Xiaodong Zhang2

  • 1College of Intelligent Manufacturing Modern Industry (School of Mechanical Engineering), Xinjiang University, Urumchi 830017, P. R. China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|February 25, 2025
PubMed
Summary

This study introduces a new method for gesture recognition using surface electromyography (sEMG) signals converted into images for convolutional neural networks, achieving high accuracy.

Keywords:
Convolutional neural networkGesture recognitionGrayscale imageSurface electromyography

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