arXiv Machine Learning June 26, 2026 By Andrei Velichko, Mehmet Tahir Huyut

State-Specific Respiratory Signatures for Affective and Stress Recognition: Interpretable Respiratory Markers, Autocorrelation Lags, and Compact CNN Models

Read the original on arXiv Machine Learning →

arXiv:2606. 26723v1 Announce Type: cross Abstract: Respiratory activity is a direct and interpretable physiological channel for wearable stress and affective-state recognition, yet many studies emphasize classification accuracy without identifying which respiratory properties separate different states.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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