Motion intention recognition of the affected hand based on the sEMG and improved DenseNet network-Reference-Cited by-同舟云学术

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Motion intention recognition of the affected hand based on the sEMG and improved DenseNet network

Published:2024-03 Issue:5 Volume:10 Page:e26763
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Niu Qunfeng,Shi Lei,Niu Yang,Jia Kunming,Fan Guangxiao,Gui Ranran,Wang Li^ORCID

Publisher

Elsevier BV

Reference43 articles.

1. J. China disability population Survey and data;Chen;International Journal of Reproductive Health/Family Planning.,2011

2. ARMIA: a sensorized arm wearable for motor rehabilitation;Garcia;Biosens. Bioelectron.,2022

3. Phase-based grasp classification for prosthetic hand control using sEMG;Wang;Biosens. Bioelectron.,2022

4. sEMG based hand gesture recognition with deformable convolutional network;Wang;International Journal of Machine Learning and Cybernetics,2022

5. Engineering and surgical advancements enable more cognitively integrated bionic arms;Ortiz-Catalan;Sci. Robot.,2021

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. Development of a Six-Channel Wearable Electromyography Sensor for hand movement intention recognition;Proceedings of the 2024 4th International Conference on Robotics and Control Engineering;2024-06-27

2. Mapping Method of Human Arm Motion Based on Surface Electromyography Signals;Sensors;2024-04-29

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