A novel neuroevolution model for emg-based hand gesture classification
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-023-08253-1.pdf
Reference48 articles.
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2. Parker P, Englehart K, Hudgins B (2006) Myoelectric signal processing for control of powered limb prostheses. J Electromyogr Kinesiol 16(6):541–548
3. Das N, Nagpal N, Bankura SS (2019) A review on the advancements in the field of upper limb prosthesis. J Med Eng Technol 42(7):532–545
4. Xia P, Hu J, Peng Y (2018) EMG-based estimation of limb movement using deep learning with recurrent convolutional neural networks. Artif Organs 42(5):67–77
5. Negi S, Kumar Y, Mishra VM (2016) Feature extraction and classification for EMG signals using linear discriminant analysis. In: 2016 2nd international conference on advances in computing, communication, & automation (ICACCA) (Fall), Bareilly
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. Pattern recognition for EMG based forearm orientation and contraction in myoelectric prosthetic hand;Journal of Intelligent & Fuzzy Systems;2024-03-05
2. Fall compensation detection from EEG using neuroevolution and genetic hyperparameter optimisation;Genetic Programming and Evolvable Machines;2023-05-17
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