A Novel Brain-Machine Safety System Based on Drowsiness Detection using the PNN and MLP Algorithms
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Publisher
Elsevier BV
Reference23 articles.
1. A Systematic Review of Literature on Automated Sleep Scoring;Alsolai;IEEE Access,2022
2. B, V.P., Chinara, S., 2021. Automatic classification methods for detecting drowsiness using wavelet packet transform extracted time-domain features from single-channel EEG signal. Journal of Neuroscience Methods 347, 108927. https://doi.org/10.1016/j.jneumeth.2020.108927
3. Barnova, K., Mikolasova, M., Kahankova, R.V., Jaros, R., Kawala-Sterniuk, A., Snasel, V., Mirjalili, S., Pelc, M., Martinek, R., 2023. Implementation of artificial intelligence and machine learning-based methods in brain–computer interaction. Computers in Biology and Medicine 163, 107135.
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5. Single-channel-based automatic drowsiness detection architecture with a reduced number of EEG features;Belakhdar;Microprocessors and Microsystems,2018
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