Deep Learning Technique in Recognizing Hand Grasps using FMG signals-Reference-Cited by-同舟云学术

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Deep Learning Technique in Recognizing Hand Grasps using FMG signals

Published:2020-11-04 Issue: Volume: Page:
ISSN:
Container-title:2020 11th IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON)
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Author:

Zakia Umme,Jiang Xianta,Menon Carlo

Funder

Natural Sciences and Engineering Research Council of Canada (NSERC)

Canadian Institutes of Health Research (CIHR)

Canada Research Chair (CRC)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9284814/9284815/09284893.pdf?arnumber=9284893

Cited by 9 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. Influence of Forearm Postures on Hand-Wrist Gesture Recognition With Forearm Deformation Measurements;IEEE Transactions on Medical Robotics and Bionics;2024-05

2. A survey on the state of the art of force myography technique (FMG): analysis and assessment;Medical & Biological Engineering & Computing;2024-02-02

3. Feasibility of force myography for the direct control of an assistive robotic hand orthosis in non-impaired individuals;Journal of NeuroEngineering and Rehabilitation;2023-08-03

4. Dataset on Force Myography for Human–Robot Interactions;Data;2022-11-08

5. A Review of EMG-, FMG-, and EIT-Based Biosensors and Relevant Human–Machine Interactivities and Biomedical Applications;Biosensors;2022-07-12

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