A Nonlinear Penalty Driven Adaptive Thresholding Algorithm for Drowsiness Detection using EEG

Drowsiness, leading to traffic and workplace accidents has been a persistent safety concern over years. Most of the electroencephalogram (EEG)-based drowsiness detection methods in literature use pre-trained classifier models. However, due to the non-stationarity of EEG signals, the patterns associated with drowsiness vary from subject to subject (inter-subject variability) and from session to ses...