A multimodal physiological classifier distinguishes stressor periods from free driving in a simulator with AUROC 0.812, but the per-second real-time claim is weakened by a centered, non-causal window.
Signal processing and machine learning for mental health research and clinical applications [perspectives],
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Estimating Markers of Driving Stress through Multimodal Physiological Monitoring
A multimodal physiological classifier distinguishes stressor periods from free driving in a simulator with AUROC 0.812, but the per-second real-time claim is weakened by a centered, non-causal window.