Stress measurement from tongue color imaging

Javier Hernandez, Craig Ferguson, Akane Sano, Weixuan Chen, Weihui Li, Albert S. Yeung, Rosalind W. Picard

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

1 Scopus citations

Abstract

A growing number of studies show links between changes in tongue appearance and human health conditions. This paper studies tongue color changes in the context of stress to explore the feasibility of providing a novel and non-invasive stress measurement method. In a laboratory study, 24 participants were asked to perform a calm and a stressful math task and to take a photo of their tongue right after each of the tasks. We observed subtle but consistent color differences between calm and stress tasks for up to 75% of the participants, which was consistent with both self-report and physiological metrics of stress. Moreover, we observed significant correlations of up to 0.72 between certain tongue colors and long-term stress assessed with the 10-item Perceived Stress Scale questionnaire. We discuss the potential implications of this work and highlight some lines of future research.

Original languageEnglish (US)
Title of host publication2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages152-157
Number of pages6
ISBN (Electronic)9781538605639
DOIs
StatePublished - Jul 2 2017
Event7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017 - San Antonio, United States
Duration: Oct 23 2017Oct 26 2017

Publication series

Name2017 7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017
Volume2018-January

Conference

Conference7th International Conference on Affective Computing and Intelligent Interaction, ACII 2017
Country/TerritoryUnited States
CitySan Antonio
Period10/23/1710/26/17

ASJC Scopus subject areas

  • Behavioral Neuroscience
  • Social Psychology
  • Artificial Intelligence
  • Human-Computer Interaction

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