Sense2Health: A Quantified Self Application for Monitoring Personal Exposure to Environmental Pollution

Abstract : Sense2Health is a Quantified Self application that monitors personal exposure to environment pollution and assesses its heath-related risks. The novelty of the application is that it requires little to no active involvement by users and unlike existing applications, it correlates the individual's well-being to their environment as opposed to their physical activity alone. Consequently, when health and environment data are acquired, our application enables users to better identify behavior changes towards enhancing their health by enhancing their environments. Furthermore, Sense2Health is an open platform for integrating existing domain-specific sensing applications (environmental and health monitoring) focused on decreasing required specialized development efforts. We present in this paper the design of Sense2Health in addition to a proof-of-concept implementation for a noise-monitoring use case. Afterwards, we assess its performance while integrating it with a dedicated open source noise sensing application.
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Communication dans un congrès
SENSORNETS 2015, Feb 2015, Angers, France. 〈http://www.sensornets.org/〉
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Sara Hachem, Georgios Mathioudakis, Animesh Pathak, Valérie Issarny, Rajiv Bhatia. Sense2Health: A Quantified Self Application for Monitoring Personal Exposure to Environmental Pollution. SENSORNETS 2015, Feb 2015, Angers, France. 〈http://www.sensornets.org/〉. 〈hal-01102275〉

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