Laport, FranciscoCastro-Castro, Paula-MaríaDapena, AdrianaVázquez Araújo, Francisco JavierFresnedo, Óscar2021-07-092021-07-092021Laport, 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/app111150512076-3417http://hdl.handle.net/2183/28175[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.engAtribución 4.0 International (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/Discrete wavelet transformsDWTElectroencephalographyEEGLinear discriminant analysisLDAOcular statesEye State Identification Based on Discrete Wavelet Transformsjournal articleopen access10.3390/app11115051