Eye State Identification Based on Discrete Wavelet Transforms

We present a prototype to identify eye states from electroencephalography signals captured one or two channels. The hardware is based on the integration of low-cost components, while signal processing algorithms combine discrete wavelet transform and linear discriminant analysis. consider different parameters: nine wavelets features extraction strategies. A set experiments performed in real scenarios allows compare performance order determine configuration with high accuracy short response delay.