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Research questionHow reliably can contactless thermal video estimate cardiorespiratory and sudomotor signals for operator-state awareness?Thermal cameras capture facial temperature changes without visible illumination, but those changes mix respiratory, cardiac, and sweating-related signals. Region selection, latency, polarity changes, subject variability, and limited frame rate complicate dependable physiological estimation.
Computer Vision
Health
Image & Video Processing
Latest papersRecent research connected to this question, newest first.Thermal Imaging for Contactless Cardiorespiratory and Sudomotor Response MonitoringThe study evaluates 288 region-of-interest and signal-processing configurations across 31 sessions from the public SIMULATOR STUDY 1 driver-monitoring dataset, using contact references and lag-tolerant metrics. It reports 3.1 ± 1.1 bpm breathing-rate error, 13.8 ± 7.5 bpm heart-rate error, and best fixed electrodermal-activity correlation of 0.40 ± 0.23, with individual sessions reaching 0.89. Findings are limited by the 7.5 Hz thermal-camera frame rate, region selection, latency, polarity changes, and subject variability.research paper · Sep 2, 2026
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