Timely detection of an individual's stress level has the potential to expedite and improve stress management, thereby reducing the risk of adverse health consequences that may arise due to unawareness or mismanagement of stress. Recent advances in wearable sensing have resulted in multiple approaches to detect and monitor stress with varying levels of accuracy. The most accurate methods, however, rely on clinical grade sensors strapped to the user. These sensors measure physiological signals of a person and are often bulky, custom-made, expensive, and/or in limited supply, hence limiting their large-scale adoption by researchers and the general public. In this paper, we explore the viability of commercially available off-the-shelf sensors for stress monitoring. The idea is to be able to use cheap, non-clinical sensors to capture physiological signals, and make inferences about the wearer's stress level based on that data. In this paper, we describe a system involving a popular off-the-shelf heart-rate monitor, the Polar H7; we evaluated our system in a lab setting with three well-validated stress-inducing stimuli with 26 participants. Our analysis shows that using the off-the-shelf sensor alone, we were able to detect stressful events with an F1 score of 0.81, on par with clinical-grade sensors.
The Case for a Commodity Hardware Solution for Stress Detection
Varun Mishra,Gunnar Pope,Sarah E. Lord,Stephanie Lewia,Byron M. Lowens,Kelly E. Caine,Sougata Sen,R. Halter,D. Kotz
Published 2018 in UbiComp/ISWC Adjunct
ABSTRACT
PUBLICATION RECORD
- Publication year
2018
- Venue
UbiComp/ISWC Adjunct
- Publication date
2018-10-08
- Fields of study
Medicine, Computer Science, Engineering
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-16 of 16 references · Page 1 of 1
CITED BY
Showing 1-31 of 31 citing papers · Page 1 of 1