cStress: Towards a Gold Standard for Continuous Stress Assessment in the Mobile Environment
By Karen Hovsepian, Mustafa al'Absi, Emre Ertin, Thomas Kamarck, Motohiro Nakajima, Santosh Kumar. Ubiquitous Computing, 2015
354 citations recorded by the source corpus.
Recent advances in mobile health have produced several new models for inferring stress from wearable sensors. But, the lack of a gold standard is a major hurdle in making clinical use of continuous stress measurements derived from wearable sensors. In this paper, we present a stress model (called cStress) that has been carefully developed with attention to every step of computational modeling including data collection, screening, cleaning, filtering, feature computation, normalization, and model training. More importantly, cStress was trained using data collected from a rigorous lab study with 21 participants and validated on two independently collected data sets --- in a lab study on 26 participants and in a week-long field study with 20 participants. In testing, the model obtains a recall of 89% and a false positive rate of 5% on lab data. On field data, the model is able to predict each instantaneous self-report with an accuracy of 72%.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology, Neurology
View Paper: https://www.semanticscholar.org/paper/d4c152a5133a34e29bd02ff498a69893567f065b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Experimental and Cognitive Psychology
- Matjaz Gams
- Mitja Lustrek
- Dimitris Grigoriadis
- Hristijan Gjoreski
- Giorgos Giannakakis
- Martin Gjoreski
- Katerina Giannakaki
- Olympia Simantiraki
Citations in the corpus
- Ambulatory Assessment: New adventures in characterizing dynamic processes (2016, positive): “This is, of course, only a brief overview of machine learning approaches; interested readers should consult textbooks (e.g., Flach, 2012) and recent applications (Hovsepian et al., 2015) of these methods.”
- Review on Psychological Stress Detection Using Biosignals (2019, methodology): “In [263], the normalization factor “stress response factor” is employed to estimate each subject’s stress profile and in [264] authors propose the model cStress as an attempt to provide a stress golden standard.”
- Monitoring stress with a wrist device using context (2017, methodology): “Finally, in 2015 Hovsepian et al. [8] proposed cStress, a method for continuous stress assessment in real life, and in 2016, cStress is used in another real-life study [9].”