The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
Remote measurement of cognitive stress via heart rate variability
Open accessAbstract
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).
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Important influence of respiration on human R-R interval power spectra is largely ignored
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Perinasal Imaging of Physiological Stress and Its Affective Potential
Shastri, D., Papadakis, M., Tsiamyrtzis, P., Bass, B., & Pavlidis, I. (2012) · IEEE Transactions on Affective Computing · doi:10.1109/t-affc.2012.13 · Cited by 89
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Simultaneous monitoring of ballistocardiogram and photoplethysmogram using a camera
Shao, D., Tsow, F., Liu, C., Yang, Y., & Tao, N. (2017) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2016.2585109 · Cited by 69
Nowara, E. M., McDuff, D., & Veeraraghavan, A. (2020) · 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) · doi:10.1109/cvprw50498.2020.00150 · Cited by 66
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Photoplethysmogram-based Cognitive Load Assessment Using Multi-Feature Fusion Model
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Beyond Mobile Apps: A Survey of Technologies for Mental Well-Being
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Metadata
- Authors
- McDuff, D., Gontarek, S., & Picard, R.
- Venue
- 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
- Publisher
- IEEE
- Published
- 2014-08
- Volume
- 2014
- Pages
- 2957-2960
- OpenAlex
- W2313602734
- Cited by
- 308
- References
- 4
- FWCI
- 62.85
- Type
- conference paper
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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