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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | McDuff, D. Gontarek, S. Picard, R. |
| Copyright Year | 2014 |
| Description | Author affiliation: Massachusetts Inst. of Technol., Cambridge, MA, USA (Gontarek, S.) || Media Lab., Massachusetts Inst. of Technol., Cambridge, MA, USA (McDuff, D.; Picard, R.) |
| 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). |
| Sponsorship | IEEE Eng. Med. Biol. Soc. |
| Starting Page | 2957 |
| Ending Page | 2960 |
| File Size | 1598113 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424479290 |
| ISSN | 1557170X |
| DOI | 10.1109/EMBC.2014.6944243 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2014-08-26 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Heart rate variability Stress Atmospheric measurements Particle measurements Physiology Stress measurement |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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