CStress: Towards a gold standard for continuous stress assessment in the mobile environment

Karen Hovsepian, Mustafa Al'absi, Emre Ertin, Thomas Kamarck, Motohiro Nakajima, Santosh Kumar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

103 Scopus citations

Abstract

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%.

Original languageEnglish (US)
Title of host publicationUbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing
PublisherAssociation for Computing Machinery, Inc
Pages493-504
Number of pages12
ISBN (Electronic)9781450335744
DOIs
StatePublished - Sep 7 2015
Event3rd ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015 - Osaka, Japan
Duration: Sep 7 2015Sep 11 2015

Publication series

NameUbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing

Other

Other3rd ACM International Joint Conference on Pervasive and Ubiquitous Computing, UbiComp 2015
CountryJapan
CityOsaka
Period9/7/159/11/15

Keywords

  • Mobile health (mHealth)
  • Modeling
  • Stress
  • Wearable sensors

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  • Cite this

    Hovsepian, K., Al'absi, M., Ertin, E., Kamarck, T., Nakajima, M., & Kumar, S. (2015). CStress: Towards a gold standard for continuous stress assessment in the mobile environment. In UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 493-504). (UbiComp 2015 - Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing). Association for Computing Machinery, Inc. https://doi.org/10.1145/2750858.2807526