EEG-based cross-subject driver drowsiness recognition with an interpretable convolutional neural network

• Main Authors: Cui, Jian, Lan, Zirui, Sourina, Olga, Muller-Wittig, Wolfgang
• Other Authors: Fraunhofer Singapore
• Format: Article
• Language: English
• Published: 2022
• Subjects: Science::Biological sciences::Human anatomy and physiology; Engineering::Computer science and engineering; Convolutional Neural Network; Electroencephalography; Driver Drowsiness Recognition; Interpretable Deep Learning
• Online Access: https://hdl.handle.net/10356/156069
• Institution: Nanyang Technological University

In the context of electroencephalogram (EEG)-based driver drowsiness recognition, it is still challenging to design a calibration-free system, since EEG signals vary significantly among different subjects and recording sessions. Many efforts have been made to use deep learning methods for mental sta...