Remote measurement of cognitive stress via heart rate variability
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Picard_Remote measurement.pdf
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928.31 KB
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eadc971825567ec6aed469cf98b4dc77
Author(s)
McDuff, Daniel Jonathan
Gontarek, Sarah
Picard, Rosalind W.
Date Issued
August 2014
Journal
Proceedings of the 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Citation
McDuff, Daniel, Sarah Gontarek, and Rosalind Picard. "Remote measurement of cognitive stress via heart rate variability." in 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 26-30 Aug. 2014, Chicago, IL, IEEE, pp.2957-2960.
Version
Author's final manuscript
Abstract
Remote detection of cognitive load has many powerful applications, such as measuring stress in the workplace. Cognitive tasks have an impact on breathing and heart rate variability (HRV). We show that changes in physiological parameters during cognitive stress can be captured remotely (at a distance of 3m) using a digital camera. A study (n=10) was conducted with participants at rest and under cognitive stress. A novel five band digital camera was used to capture videos of the face of the participant. Significantly higher normalized low frequency HRV components and breathing rates were measured in the stress condition when compared to the rest condition. Heart rates were not significantly different between the two conditions. We built a person-independent classifier to predict cognitive stress based on the remotely detected physiological parameters (heart rate, breathing rate and heart rate variability). The accuracy of the model was 85% (35% greater than chance).
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Media Laboratory
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Creative Commons Attribution-Noncommercial-Share Alike
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DOI of Published Version
https://doi.org/10.1109/EMBC.2014.6944243
