This study aims to provide a microsleep predicting system using EEG signals. The system analyzes a user’s mental state with EEG signals in a real-time environment and alerts the user when the user’s future mental state is highly like to be in a microsleep state. The system predicts the probability of the user’s future mental state with present EEG signals and alerts the user if the probability of future mental state reached the arbitrary threshold. By using this system, the user can avoid industrial or traffic accidents caused by microsleep.
Contact: Heon-Gyu Kwak (firstname.lastname@example.org)