FPGA-Based Brain-Computer Interface System for Real-Time Eye State Classification
Author:
Affiliation:
1. Universidad de Ingenieria y Tecnologia,Department of Electrical Engineering,Lima,Peru
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10261937/10261649/10261967.pdf?arnumber=10261967
Reference23 articles.
1. Smartwatch-Based Wearable EEG System for Driver Drowsiness Detection
2. Feasibility of an ultra-low power digital signal processor platform as a basis for a fully implantable brain-computer interface system
3. Linear discriminant analysis: A detailed tutorial
4. A hardware/software prototype of EEG-based BCI system for home device control;belwafi;Journal of Signal Processing Systems,2016
5. A hybrid FPGA-based system for EEG- and EMG-based online movement prediction;wöhrle;SENSORS,2017
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1. An Investigation on Recoverable and Fault Tolarence Method-Based on Real-Time FPGA;2023 International Conference on Emerging Research in Computational Science (ICERCS);2023-12-07
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