Hand Gesture Recognition Across Various Limb Positions Using a Multimodal Sensing System Based on Self-Adaptive Data-Fusion and Convolutional Neural Networks (CNNs)-Reference-Cited by-同舟云学术

Hand Gesture Recognition Across Various Limb Positions Using a Multimodal Sensing System Based on Self-Adaptive Data-Fusion and Convolutional Neural Networks (CNNs)

Published:2024-06-01 Issue:11 Volume:24 Page:18633-18645
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Zhang Shen¹^ORCID,Zhou Hao¹^ORCID,Tchantchane Rayane¹^ORCID,Alici Gursel¹^ORCID

Affiliation:

1. School of Mechanical, Materials, Mechatronic and Biomedical Engineering, and Advanced Mechatronics and Biomedical Engineering Research (AMBER) Group, University of Wollongong, Wollongong, NSW, Australia

Funder

ARC-Discovery Project

University of Wollongong, Wollongong, NSW, Australia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7361/10546898/10506463.pdf?arnumber=10506463

Reference47 articles.

1. Multi-Modal Sensing Techniques for Interfacing Hand Prostheses: A Review

2. Effects of Long-Term Myoelectric Signals on Pattern Recognition

3. EMG feature evaluation for improving myoelectric pattern recognition robustness

4. Current Trends and Confounding Factors in Myoelectric Control: Limb Position and Contraction Intensity

5. EMG-Centered Multisensory Based Technologies for Pattern Recognition in Rehabilitation: State of the Art and Challenges

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Quantifying Covariate Shift and Improving Electromyography Driven Gesture Recognition with Calibration and Sample Selection;2024 IEEE International Conference on Advanced Intelligent Mechatronics (AIM);2024-07-15

2. Design of a Novel Predictive Technique to Estimate Liquid Level and Concentration Using Multi-Sensor Data Fusion;IEEE Access;2024