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Authors: Sara Hachem 1 ; Georgios Mathioudakis 2 ; Animesh Pathak 2 ; Valerie Issarny 1 and Rajiv Bhatia 3

Affiliations: 1 Inria@Silicon Valley, United States ; 2 Inria Paris Rocquencourt, France ; 3 The Civic Engine, United States

Keyword(s): Mobile Sensing, Quantified Self, Environment Monitoring, Well-being, Noise Sensing.

Related Ontology Subjects/Areas/Topics: Applications and Uses ; Data Communication Networking ; Enterprise Information Systems ; Environment Monitoring ; Internet of Things ; Programming and Middleware ; Sensor Networks ; Software Agents and Internet Computing ; Software and Architectures ; Telecommunications ; Well-Being and Well-Working

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. (More)

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Paper citation in several formats:
Hachem, S.; Mathioudakis, G.; Pathak, A.; Issarny, V. and Bhatia, R. (2015). Sense2Health - A Quantified Self Application for Monitoring Personal Exposure to Environmental Pollution. In Proceedings of the 4th International Conference on Sensor Networks - SENSORNETS; ISBN 978-989-758-086-4; ISSN 2184-4380, SciTePress, pages 36-44. DOI: 10.5220/0005332100360044

@conference{sensornets15,
author={Sara Hachem. and Georgios Mathioudakis. and Animesh Pathak. and Valerie Issarny. and Rajiv Bhatia.},
title={Sense2Health - A Quantified Self Application for Monitoring Personal Exposure to Environmental Pollution},
booktitle={Proceedings of the 4th International Conference on Sensor Networks - SENSORNETS},
year={2015},
pages={36-44},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005332100360044},
isbn={978-989-758-086-4},
issn={2184-4380},
}

TY - CONF

JO - Proceedings of the 4th International Conference on Sensor Networks - SENSORNETS
TI - Sense2Health - A Quantified Self Application for Monitoring Personal Exposure to Environmental Pollution
SN - 978-989-758-086-4
IS - 2184-4380
AU - Hachem, S.
AU - Mathioudakis, G.
AU - Pathak, A.
AU - Issarny, V.
AU - Bhatia, R.
PY - 2015
SP - 36
EP - 44
DO - 10.5220/0005332100360044
PB - SciTePress