The classification of electrooculography signals: A significant feature identification via mutual information
Stroke is currently known as the third most frequent reason for disability worldwide where the quality of life of its survivors in terms of their daily functioning is seriously affected. Brain-Computer Interface (BCI) is a system that can acquire and transform brain activity into readable outputs. T...
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| Main Authors: | , , , , , , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
Springer
2022
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| Subjects: | |
| Online Access: | http://umpir.ump.edu.my/id/eprint/33359/1/The%20classification%20of%20electrooculography%20signals-%20A%20significant.pdf http://umpir.ump.edu.my/id/eprint/33359/ https://doi.org/10.1007/978-981-33-4597-3_92 |
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