/eeg-eye-state-lstm

Electroencephalogram (EEG) is a procedure that detects electrical activity of a person’s brain. In this research paper we took a dataset of EEG readings and eye state (open or closed) as the output. The purpose of the research was to implement and analyze a LSTM based neural network model for eye state classification from EEG readings. We also compared our work with various previous approaches on EEG reading on eye state classification.

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