A cross-dataset analysis finds that lower heart-rate variability, lower respiratory amplitude, and lower tonic skin conductance are associated with drowsiness, but the evidence is weakened by dataset confounds and no external validation.
Among all measures, physiological-signal-based drowsiness monitoring can be more privacy-preserving than a camera-based approach
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Towards Generalizable Drowsiness Monitoring with Physiological Sensors: A Preliminary Study
A cross-dataset analysis finds that lower heart-rate variability, lower respiratory amplitude, and lower tonic skin conductance are associated with drowsiness, but the evidence is weakened by dataset confounds and no external validation.