Eye State Identification Based on Discrete Wavelet Transforms
We present a prototype to identify eye states from electroencephalography signals captured from one or two channels. The hardware is based on the integration of low-cost components, while the signal processing algorithms combine discrete wavelet transform and linear discriminant analysis. We conside...
| Published in: | Applied Sciences |
|---|---|
| Main Authors: | , , , , |
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-05-01
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| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/11/5051 |