
A Lightweight Subject-adaptive EEG Network for Driver Drowsiness Detection
Electroencephalography (EEG)-based driver-drowsiness detection is hindered by cross-subject variability and the resource cost of multi-channel models. This article presents Lite dynamic vision with explicit-adaptive implicit matching knowledge distillation (Lite-DV-EAIM-KD), a lightweight, subject-adaptive, and interpretable framework for binary drowsiness recognition. Thirty-channel…






