您当前的位置:
首页 >
文章列表页 >
Research Progress on Surface Electromyography Gesture Recognition Based on Deep Learning
Research Review | 更新时间:2025-05-21
    • Research Progress on Surface Electromyography Gesture Recognition Based on Deep Learning

    • In the field of intent recognition, deep learning technology has significantly improved the accuracy of gesture recognition using surface electromyography signals, demonstrating broad application prospects.
    • Software Guide   Vol. 24, Issue 5, Pages: 8-15(2025)
    • DOI:10.11907/rjdk.241947    

      CLC: TP181
    • Received:07 November 2024

      Published:15 May 2025

    移动端阅览

  • CHEN Yining,YU Yizhi.Research Progress on Surface Electromyography Gesture Recognition Based on Deep Learning[J].Software Guide,2025,24(05):8-15. DOI: 10.11907/rjdk.241947.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

Review of Dialogue Systems Based on Deep Neural Networks
A Review of Gesture Recognition Algorithms for Surface Electromyography
Research and Application of Artificial Intelligence in the Endometrial Cancer
Overview on Deep Learning-Based Recognition of Hand Gestures

Related Author

XING Chunkang
REN Xunyi
WANG Shuo
CHENG Yunzhang
SUN Yue
LI Zhi
GAO Li
YUAN Wen-han

Related Institution

School of Computer Science, Nanjing University of Posts and Telecommunications
Shanghai Engineering Research Center of Interventional Medical Devices, University of Shanghai for Science and Technology
College of Electronics and Information Engineering, Sichuan University
Department of Neurology, Chengdu Third People’s Hospital
Department of Gynecology and Obstetrics, Key Laboratory of Obstetric and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second Hospital, Sichuan University
0