Recognizing drivers’ sleep onset by detecting slow eye movement using a parallel multimodal one-dimensional convolutional neural network

• Published in: Computer methods in biomechanics and biomedical engineering pp. 1 - 15
• Main Authors: Jiao, Yingying, He, Xiujin
• Format: Journal Article
• Language: English
• Published: England 29.01.2025
• Subjects: Slow eye movements (SEMs); one-dimensional convolutional neural network (1D-CNN); drivers’ sleep onset; electrooculogram (EOG); electroencephalograph (EEG)

Slow eye movements (SEMs) are a reliable physiological marker of drivers' sleep onset, often accompanied by EEG alpha wave attenuation. A parallel multimodal 1D convolutional neural network (PM-1D-CNN) model is proposed to classify SEMs. The model uses two parallel 1D-CNN blocks to extract feat...