Hand movements classification based on Myo armband signals
Author:
Affiliation:
1. University of Basrah,Computer Engineering Department,Basra,Iraq
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10000260/10000277/10000349.pdf?arnumber=10000349
Reference24 articles.
1. Comparison of six electromyography acquisition setups on hand movement classification tasks
2. Using the robust high density-surface electromyography features for real-time hand gestures classification;jaber;IOP Conference Series: Materials Science and Engineering,2019
3. Hand gesture classification in transradial amputees using the myo armband classifier*
4. Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use
5. Motion Classification Based on sEMG Signals Using Deep Learning
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1. Leveraging Inertial Information from a Single IMU for Human Daily Activity Recognition;2024 IEEE International Symposium on Medical Measurements and Applications (MeMeA);2024-06-26
2. Human Hand Movement Classification based on EMG Signal using different Feature Extractor;Biomedical and Pharmacology Journal;2024-03-20
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