Continuous classification of myoelectric signals for powered prostheses using gaussian mixture models-Reference-Cited by-同舟云学术

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Continuous classification of myoelectric signals for powered prostheses using gaussian mixture models

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Container-title:Proceedings of the 25th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (IEEE Cat. No.03CH37439)
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Author:

Chan A.D.C.,Englehart K.B.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx5/9009/28615/01280510.pdf?arnumber=1280510

Cited by 18 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

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2. Performance Optimization of Surface Electromyography Based Biometric Sensing System for Both Verification and Identification;IEEE Sensors Journal;2021-10-01

3. Surface EMG-Based Instantaneous Hand Gesture Recognition Using Convolutional Neural Network with the Transfer Learning Method;Sensors;2021-04-05

4. Interactive Platform of Gesture and Music Based on Myo Armband and Processing;Journal of Physics: Conference Series;2019-08-01

5. Simultaneous Force Regression and Movement Classification of Fingers via Surface EMG within a Unified Bayesian Framework;Frontiers in Bioengineering and Biotechnology;2018-02-26

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