%0 Conference Proceedings %T Sense2Health: A Quantified Self Application for Monitoring Personal Exposure to Environmental Pollution %+ Middleware on the Move (MIMOVE) %+ The Civic Engine %A Hachem, Sara %A Mathioudakis, Georgios %A Pathak, Animesh %A Issarny, Valérie %A Bhatia, Rajiv %Z Inria IPL CityLab %< avec comité de lecture %B SENSORNETS 2015 %C Angers, France %8 2015-02-11 %D 2015 %K mobile sensing %K well-being %K quantified self %K noise sensing %K environment monitoring %Z Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC] %Z Computer Science [cs]/Mobile ComputingConference papers %X 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. %G English %2 https://inria.hal.science/hal-01102275/document %2 https://inria.hal.science/hal-01102275/file/SENSORNETS_2015_56_CR.pdf %L hal-01102275 %U https://inria.hal.science/hal-01102275 %~ INRIA %~ INRIA-ROCQ %~ INRIA_TEST %~ TESTALAIN1 %~ CITYLAB %~ INRIA2 %~ INRIA-ETATSUNIS