Sensing the Health State of a Community

Anmol Madan; Manuel Cebrian; Sai Moturu; Katayoun Farrahi; Alex Pentland

doi:10.1109/MPRV.2011.79

Sensing the Health State of a Community

Anmol Madan
, Manuel Cebrian
, Sai Moturu
, Katayoun Farrahi
, Alex Pentland

Institute of Pervasive Computing

Research output: Contribution to journal › Article › peer-review

Abstract

Mobile phones are a pervasive platform for opportunistic sensing of behaviors and opinions. Three studies use location and communication sensors to model individual behaviors and symptoms, long-term health outcomes, and the diffusion of opinions in a community. These three analyses illustrate how mobile phones can unobtrusively monitor rich social interactions, because the underlying sensing technologies are now commonplace and readily available.

Original language	English
Article number	6072198
Pages (from-to)	36-45
Number of pages	10
Journal	IEEE Pervasive Computing
Volume	11
Issue number	4
DOIs	https://doi.org/10.1109/MPRV.2011.79
Publication status	Published - Nov 2012

Fields of science

102 Computer Sciences
102009 Computer simulation
102013 Human-computer interaction
102019 Machine learning
102020 Medical informatics
102021 Pervasive computing
102022 Software development
102025 Distributed systems
202017 Embedded systems
211902 Assistive technologies
211912 Product design

JKU Focus areas

Computation in Informatics and Mathematics
Engineering and Natural Sciences (in general)

Access to Document

10.1109/MPRV.2011.79

Cite this

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Sensing the Health State of a Community

Abstract

Fields of science

JKU Focus areas

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SOCIONICAL - Complex Socio-Technical System in Ambient Intelligence

Cite this

Sensing the Health State of a Community

Abstract

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

SOCIONICAL - Complex Socio-Technical System in Ambient Intelligence

Cite this