Eye State Identification Based on Discrete Wavelet Transforms
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http://hdl.handle.net/2183/28175
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Eye State Identification Based on Discrete Wavelet TransformsAuthor(s)
Date
2021Citation
Laport, F.; Castro, P.M.; Dapena, A.; Vazquez-Araujo, F.J.; Fresnedo, O. Eye State Identification Based on Discrete Wavelet Transforms. Appl. Sci. 2021, 11, 5051. https://doi.org/10.3390/app11115051
Abstract
[Abstract]: 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 consider different parameters: nine different wavelets and two features extraction strategies. A set of experiments performed in real scenarios allows to compare the performance in order to determine a configuration with high accuracy and short response delay.
Keywords
Discrete wavelet transforms
DWT
Electroencephalography
EEG
Linear discriminant analysis
LDA
Ocular states
DWT
Electroencephalography
EEG
Linear discriminant analysis
LDA
Ocular states
Editor version
Rights
Atribución 4.0 International (CC BY 4.0)
ISSN
2076-3417