Towards Decisive Garments For Heat Stress Risk Detection

UbiComp '16: The 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing Heidelberg Germany September, 2016(2016)

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摘要
One of the numerous applications of wearable computers is providing safety in occupations where heat-related injuries are prevalent. Core temperature, as a parameter that cannot be measured by on-body sensors is a variable that is specifically interesting for realizing such applications. In the context of the design of a sensor-shirt that can be used by firefighters, in this paper we study the importance of different types of sensor measurements and their placement for estimating core temperature. We propose a model for inferring the dangerous states of core temperature. Our evaluation results show that our model can to a great extent estimate hazardous situations caused by heat accumulation.
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关键词
Wearable computers,machine learning,ambulatory physiological monitoring,smart-shirt,heat stress,sensor-shirt
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