Multimodal Brain–Computer Interface for In-Vehicle Driver Cognitive Load Measurement: Dataset and Baselines
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, Queen's University, Kingston, ON, Canada
2. Department of Chemical Engineering, Queen's University, Kingston, ON, Canada
Funder
Innovation for Defence Excellence and Security (IDEaS) Program through the Department of National Defence
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/6979/10543072/10382455.pdf?arnumber=10382455
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1. Driver's cognitive distraction detection using physiological features by the adaboost
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5. Nonparametric Bayesian Prior Inducing Deep Network for Automatic Detection of Cognitive Status
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