困倦手表:基于体温预测白天困倦程度

Jie Bao, Jiawen Han, Akira Kato, K. Kunze
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引用次数: 2

摘要

白天嗜睡,即在白天难以保持清醒的状态,是一个严重的问题,会导致交通事故,并对幸福感、健康和生产力产生不利影响。我们的研究旨在通过在日常生活中使用可穿戴传感器来预测白天的困倦,以提高人们的意识,帮助人们更好地管理自己的精力。本研究首次对体温(手腕、前额、耳内)与使用者的警觉性进行了比较,这是通过反应测试来测量的:心理运动警觉性任务(PVT), 7名参与者在现实生活条件下(总共168小时)进行了2天的测试。结果表明,某些体温测量与某些受试者的PVT得分之间存在微弱的相关性。这强调了不引人注目的体温感应可以是一种有趣的方式来理解和探索白天的嗜睡。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sleepy watch: towards predicting daytime sleepiness based on body temperature
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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