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How Laboratory Experiments Can Be Exploited for Monitoring Stress in the Wild: A Bridge Between Laboratory and Daily Life
- Source :
- Sensors (Basel, Switzerland), Sensors, Vol 20, Iss 3, p 838 (2020), Sensors, Volume 20, Issue 3
- Publication Year :
- 2020
- Publisher :
- MDPI, 2020.
-
Abstract
- Chronic stress leads to poor well-being, and it has effects on life quality and health. Society may have significant benefits from an automatic daily life stress detection system using unobtrusive wearable devices using physiological signals. However, the performance of these systems is not sufficiently accurate when they are used in unrestricted daily life compared to the systems tested in controlled real-life and laboratory conditions. To test our stress level detection system that preprocesses noisy physiological signals, extracts features, and applies machine learning classification techniques, we used a laboratory experiment and ecological momentary assessment based data collection with smartwatches in daily life. We investigated the effect of different labeling techniques and different training and test environments. In the laboratory environments, we had more controlled situations, and we could validate the perceived stress from self-reports. When machine learning models were trained in the laboratory instead of training them with the data coming from daily life, the accuracy of the system when tested in daily life improved significantly. The subjectivity effect coming from the self-reports in daily life could be eliminated. Our system obtained higher stress level detection accuracy results compared to most of the previous daily life studies.
- Subjects :
- Adult
Male
Computer science
Life quality
physiological signal processing
02 engineering and technology
Fitness Trackers
Anxiety
lcsh:Chemical technology
Machine learning
computer.software_genre
Biochemistry
Bridge (nautical)
Article
Analytical Chemistry
Stress level
Machine Learning
03 medical and health sciences
Young Adult
0302 clinical medicine
Surveys and Questionnaires
Stress (linguistics)
0202 electrical engineering, electronic engineering, information engineering
Humans
Speech
lcsh:TP1-1185
Chronic stress
Electrical and Electronic Engineering
Instrumentation
Life stress
business.industry
Data Collection
stress recognition
020206 networking & telecommunications
Equipment Design
smart band
Atomic and Molecular Physics, and Optics
Female
Artificial intelligence
Self Report
Laboratory experiment
business
computer
030217 neurology & neurosurgery
Algorithms
Stress, Psychological
Subjects
Details
- Language :
- English
- ISSN :
- 14248220
- Volume :
- 20
- Issue :
- 3
- Database :
- OpenAIRE
- Journal :
- Sensors (Basel, Switzerland)
- Accession number :
- edsair.doi.dedup.....ebad928cd03b5b3d674fac33668c9181