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.
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