Channel Selection for Gesture Recognition Using Force Myography: A Universal Model for Gesture Measurement Points-Reference-Cited by-同舟云学术

Channel Selection for Gesture Recognition Using Force Myography: A Universal Model for Gesture Measurement Points

Published:2024 Issue: Volume:32 Page:2016-2026
ISSN:1534-4320
Container-title:IEEE Transactions on Neural Systems and Rehabilitation Engineering
language:
Short-container-title:IEEE Trans. Neural Syst. Rehabil. Eng.

Author:

Xiao Ziyu¹^ORCID,Du Zihao²^ORCID,Yan Zefeng¹,Huang Tiantian¹^ORCID,Xu Denan³,Huang Qin⁴,Han Bin¹^ORCID

Affiliation:

1. State Key Laboratory of Intelligent Manufacturing Equipment and Technology, School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

2. Department of Automation, School of Information Science and Technology, Tsinghua University, Beijing, China

3. Guangdong Intelligent Research Institute, Dongguan, China

4. Department of Rehabilitation Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China

Funder

Natural Science Foundation of Hubei Province of China

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Interdiciplinary Research Program of Huazhong University of Science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7333/10398877/10535990.pdf?arnumber=10535990

Reference41 articles.

1. Upper limb amputation; Care needs for reintegration to life: An integrative review

2. Posttraumatic and Depressive Symptoms in Victims of Occupational Accidents

3. Wearable sensors for activity monitoring and motion control: A review

4. Wearable sensors and machine learning in post-stroke rehabilitation assessment: A systematic review

5. Visual interpretation of hand gestures for human-computer interaction: a review