Sleepy watch: towards predicting daytime sleepiness based on body temperature
Authors: 
Jie Bao, Jiawen Han, Akira Kato, 
Kai KunzeAuthors Info & Claims
Pages 9 - 12
Abstract
Daytime sleepiness, the difficulty to maintain an alert waking state during the day, is a serious problem causing vehicle accidents and adverse effects on well-being, health, and productivity. Our research aims at predicting daytime sleepiness using wearable sensing in everyday life to raise awareness and help people to manage their energy better. This study presents a first exploration of comparing body temperature (wrist, forehead, in-ear) with users alertness, measured over a reaction test: Psychomotor vigilance task (PVT) in 7 participants over 2 days in real-life conditions (168 hours in total). The results indicate a weak correlation between some body temperature measures and the PVT scores for certain subjects. This underlines that unobtrusive on-body temperature sensing can be an interesting modality to understand and explore daytime sleepiness.
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Index Terms
- Sleepy watch: towards predicting daytime sleepiness based on body temperature
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Published In
September 2020
732 pages
ISBN:9781450380768
DOI:10.1145/3410530
- General Chairs:
- Monica Tentori,
- Nadir Weibel,
- Kristof Van Laerhoven,
- Program Chairs:
- Gregory Abowd,
- Flora Salim
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Published: 12 September 2020
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- Japan Society for the Promotion of Science
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UbiComp/ISWC '20: 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and 2020 ACM International Symposium on Wearable Computers
September 12 - 17, 2020
Virtual Event, Mexico
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Overall Acceptance Rate 764 of 2,912 submissions, 26%
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