A Spatio-Temporal Graph Convolutional Network for Gesture Recognition from High-Density Electromyography-Reference-Cited by-同舟云学术

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A Spatio-Temporal Graph Convolutional Network for Gesture Recognition from High-Density Electromyography

Published:2023-11-21 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 29th International Conference on Mechatronics and Machine Vision in Practice (M2VIP)
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Author:

Zhong Wenjuan¹,Zhang Yuyang¹,Fu Peiwen¹,Xiong Wenxuan¹,Zhang Mingming¹

Affiliation:

1. Southern University of Science and Technology,Department of Biomedicial Engineering,Shenzhen,China

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Southern University of Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10413343/10413344/10413402.pdf?arnumber=10413402

Reference21 articles.

1. Man/machine interface based on the discharge timings of spinal motor neurons after targeted muscle reinnervation

2. Learning Effective Spatial–Temporal Features for sEMG Armband-Based Gesture Recognition

3. A Muscle Synergy-Driven ANFIS Approach to Predict Continuous Knee Joint Movement

4. An approach to continuous hand movement recognition using SEMG based on features fusion

5. A Learning Scheme for Reach to Grasp Movements: On EMG-Based Interfaces Using Task Specific Motion Decoding Models

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