Multimodal Fusion Convolutional Neural Network Based on sEMG and Accelerometer Signals for Intersubject Upper Limb Movement Classification
Author:
Affiliation:
1. School of Computer Science and Technology, Changchun University of Science and Technology, Changchun, China
2. Department of Rehabilitation Medicine, The First Hospital of Jilin University, Changchun, China
Funder
Department of Science and Technology of Jilin Province
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Instrumentation
Link
http://xplorestaging.ieee.org/ielx7/7361/10139852/10105233.pdf?arnumber=10105233
Reference39 articles.
1. Self-Correcting Pattern Recognition System of Surface EMG Signals for Upper Limb Prosthesis Control
2. Deep Multimodal Learning: A Survey on Recent Advances and Trends
3. A robust, real-time control scheme for multifunction myoelectric control
4. Hand gesture recognition using multimodal data fusion and multiscale parallel convolutional neural network for human–robot interaction
5. Dynamic training protocol improves the robustness of PR-based myoelectric control
Cited by 4 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. A lightweight multi-scale convolutional attention network for lower limb motion recognition with transfer learning;Biomedical Signal Processing and Control;2025-01
2. Comparison of fine-tuned single-source and multi-source approaches to surface electromyogram pattern recognition;Biomedical Signal Processing and Control;2024-08
3. Gesture Recognition Using MLP-Mixer With CNN and Stacking Ensemble for sEMG Signals;IEEE Sensors Journal;2024-02-15
4. A Multichannel CNN-GRU Hybrid Architecture for sEMG Gesture Recognition;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3