Differentiating Physical and Psychological Stress Using Wearable Physiological Signals and Salivary Cortisol
Ozan Kaya, Nikoletta Athanassopoulou, George G. Malliaras, Marco Vinicio Alban-Paccha

TL;DR
This study demonstrates that combining wearable physiological signals with salivary cortisol measurements significantly improves the accuracy of distinguishing physical and psychological stress states.
Contribution
The paper introduces a multimodal approach integrating wearable data and cortisol to enhance stress classification accuracy, especially for psychological stress detection.
Findings
Wearable signals alone achieved 77.8% accuracy in stress classification.
Adding cortisol increased overall accuracy to 94.4%.
Cortisol reduced misclassification between psychological stress and rest.
Abstract
Objective: This study aimed to assess how wearable physiological signals, alone and combined with salivary cortisol, distinguish physical and psychological stress and their recovery states. Methods: Six healthy adults completed three laboratory sessions on separate days: rest, physical stress (high-intensity cycling), or psychological stress (modified Trier Social Stress Test). Heart rate, heart rate variability, electrodermal activity, and wrist accelerometry were recorded continuously, and salivary cortisol was sampled at five time points. Features were extracted in non-overlapping 10-minute windows and labelled as rest, physical stress, physical recovery, psychological stress, or psychological recovery. A gradient boosting classifier was trained using wearable features alone and with five additional cortisol features per window. Performance was evaluated using…
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