Multispectral optical sensor for psychological stress detection
Bibliographic record
Abstract
The human skin is a complex organ responsive to physiological and psychological states. In the current study, we aim to individuate stress-related skin response with a high-throughput multimodal combination of optical techniques. Raman, reflectance, and fluorescence spectra were recorded on the palm skin of healthy volunteers using a multimodal fiber-probe device developed by our group and previously described. The cognitive-emotional stress was induced with the Montreal Imaging Stress Task. Electrodermal activity, heart rate, and heart rate variability were monitored throughout the experiment. A multimodal approach achieved 100% accuracy in classifying “no-stress” and “stress” conditions. The Raman bands associated with stress biomarkers such as cortisol, lactic acid, and ceramides correlated with the spectral shifts observed in our experiments. The results confirm the potential in application of our multispectral optical sensor for the non-invasive detection of psychological stress.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".