EEG-based recognition of driver state related to situation awareness using graph convolutional networks

• Main Authors: Li, Ruilin, Lan, Zirui, Cui, Jian, Sourina, Olga, Wang, Lipo
• Other Authors: School of Electrical and Electronic Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2021
• Subjects: Engineering::Electrical and electronic engineering; EEG; Graph Convolution Networks
• Online Access: https://hdl.handle.net/10356/146044
• Institution: Nanyang Technological University

Extracting intra- and inter-subject parameters from Electroencephalogram (EEG) representing different Situation Awareness (SA) status is a critical challenge for objective SA recognition. Most of the existing work focuses on the subject-dependent classification that applies power spectrum density (P...