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)
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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