Nose Heat: Exploring Stress-induced Nasal Thermal Variability through Mobile Thermal Imaging
May 13, 2019 Β· Declared Dead Β· π Affective Computing and Intelligent Interaction
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Authors
Youngjun Cho, Nadia Bianchi-Berthouze, Manuel Oliveira, Catherine Holloway, Simon Julier
arXiv ID
1905.05144
Category
cs.HC: Human-Computer Interaction
Citations
28
Venue
Affective Computing and Intelligent Interaction
Last Checked
4 months ago
Abstract
Automatically monitoring and quantifying stress-induced thermal dynamic information in real-world settings is an extremely important but challenging problem. In this paper, we explore whether we can use mobile thermal imaging to measure the rich physiological cues of mental stress that can be deduced from a person's nose temperature. To answer this question we build i) a framework for monitoring nasal thermal variable patterns continuously and ii) a novel set of thermal variability metrics to capture a richness of the dynamic information. We evaluated our approach in a series of studies including laboratory-based psychosocial stress-induction tasks and real-world factory settings. We demonstrate our approach has the potential for assessing stress responses beyond controlled laboratory settings.
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