Chen, TongYuen, Peter W. T.Richardson, Mark A.Liu, GuangyuanShe, Zhishun2019-10-312019-10-312014-10-09Chen T, Yuen P, Richardson M, et al., (2014) Detection of psychological stress using a hyperspectral imaging technique. IEEE Transactions on Affective Computing, Volume 5, Issue 4, Oct-Dec 2014, pp. 391-4051949-3045https//doi.org/10.1109/TAFFC.2014.2362513http://dspace.lib.cranfield.ac.uk/handle/1826/14663The detection of stress at early stages is beneficial to both individuals and communities. However, traditional stress detection methods that use physiological signals are contact-based and require sensors to be in contact with test subjects for measurement. In this paper, we present a method to detect psychological stress in a non-contact manner using a human physiological response. In particular, we utilize a hyperspectral imaging (HSI) technique to extract the tissue oxygen saturation (StO2) value as a physiological feature for stress detection. Our experimental results indicate that this new feature may be independent from perspiration and ambient temperature. Trier Social Stress Tests (TSSTs) on 21 volunteers demonstrated a significant difference $p\< 0.005$ and a large practical discrimination (d 1/4 1.37) between normalized baseline and stress StO2 levels. The accuracy for stress recognition from baseline using a binary classifier was 76.19 and 88.1 percent for the automatic and manual selections of the classifier threshold, respectively. These results suggest that the StO2 level could serve as a new modality to recognize stress at standoff distances.enAttribution-NonCommercial 4.0 Internationalstress detectionhyperspectral imagingremote sensingtissue oxygen saturationArticle6069379