Multi-segment Majority Voting Decision Fusion for MI EEG Brain-Computer Interfacing
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cognitive Neuroscience,Computer Science Applications,Computer Vision and Pattern Recognition
Link
https://link.springer.com/content/pdf/10.1007/s12559-021-09953-3.pdf
Reference36 articles.
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3. Tang Z, Li C, Sun S. Single-trial EEG classification of motor imagery using deep convolutional neural networks. Optik (Stuttg). 2017;130:11–8.
4. Choi J, Kim H. Real-time decoding of EEG gait intention for controlling a lower-limb exoskeleton system. In: 7th International Winter Conference on Brain-Computer Interface (BCI), Feb. 2019. https://doi.org/10.1109/IWW-BCI.2019.8737311.
5. Arnin J, Kahani D, Lakany H, Conway BA. Heterogeneous real-time multi-channel time-domain feature extraction using parallel sum reduction on GPU. In: 8th Graz Brain Comp. Interface Conf. 2019, Bridging Science and Application, Sept. 2019. https://doi.org/10.3217/978-3-85125-682-6-33.
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