Assessing Driver Task Engagement Through Machine Learning Classification of Physiological Response
Author:
Affiliation:
1. Carleton University,Systems and Computer Engineering,Ottawa,Canada
2. Carleton University,Department of Cognitive Science,Ottawa,Canada
3. SAM 3 Innovation Hub,Ottawa,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10253663/10253664/10254136.pdf?arnumber=10254136
Reference16 articles.
1. Assessing Driver Engagement Through Machine Learning Classification of Physiological Measures
2. Age-Friendly Protocol to Support Investigations of Autonomous Driving Disengagement on Driver Safety
3. XGBoost
4. Monte Carlo Singular Spectrum Analysis (SSA) Revisited: Detecting Oscillator Clusters in Multivariate Datasets
5. Association of falls and fear of falling with objectively-measured driving habits among older drivers: LongROAD study
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