EEG-based recognition of driver state related to situation awareness using graph convolutional networks
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...
Main Authors: | , , , , |
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Other Authors: | |
Format: | Conference Paper |
Language: | English |
Published: |
2021
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/146044 |