Optimized CNN-Bi-LSTM–Based BCI System for Imagined Speech Recognition Using FOA-DWT
Speech imagery is emerging as a significant neuro-paradigm for designing an electroencephalography (EEG)-based brain–computer interface (BCI) system for the purpose of rehabilitation, medical neurology, and to aid people with disabilities in interacting with their surroundings. Neural correlates of...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2024-01-01
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| Series: | Advances in Human-Computer Interaction |
| Online Access: | http://dx.doi.org/10.1155/2024/8742261 |
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