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Community Sense and Response Systems: Your Phone as Quake Detector

Faulkner, Matthew and Clayton, Robert W. and Heaton, Thomas and Chandy, K. Mani and Kohler, Monica D. and Bunn, Julian and Guy, Richard and Liu, Annie and Olson, Michael and Cheng, Ming-Hei and Krause, Andreas (2014) Community Sense and Response Systems: Your Phone as Quake Detector. Communications of the ACM, 57 (7). pp. 66-75. ISSN 0001-0782. http://resolver.caltech.edu/CaltechAUTHORS:20140819-131736568

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Abstract

The proliferation of smartphones and other powerful sensor-equipped consumer devices enables a new class of Web application: community sense and response (CSR) systems, distinguished from standard Web applications by their use of community-owned commercial sensor hardware. Just as social networks connect and share human-generated content, CSR systems gather, share, and act on sensory data from users' Internet-enabled devices. Here, we discuss the Caltech Community Seismic Network (CSN) as a prototypical CSR system harnessing accelerometers in smartphones and consumer electronics, including the systems and algorithmic challenges of designing, building, and evaluating a scalable network for real-time awareness of dangerous earthquakes.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1145/2622633DOIArticle
http://cacm.acm.org/magazines/2014/7/176219-community-sense-and-response-systems/fulltextPublisherArticle
ORCID:
AuthorORCID
Clayton, Robert W.0000-0003-3323-3508
Heaton, Thomas0000-0003-3363-2197
Additional Information:© 2014 ACM. We would like to thank the Gordon and Betty Moore Foundation, the National Science Foundation (awards CNS0932392, IIS0953413), and European Research Council Starting Grant 307036. Andreas Krause was supported in part by a Microsoft Research Faculty Fellowship. We also thank Signal Hill Petroleum and Nodal Seismic for data from the Long Beach Network, and the Southern California Seismic Network for data from the permanent earthquake network in Southern California.
Group:Seismological Laboratory
Funders:
Funding AgencyGrant Number
Gordon and Betty Moore FoundationUNSPECIFIED
NSFCNS-0932392
NSFIIS-0953413
European Research Council (ERC)307036
Microsoft ResearchUNSPECIFIED
Record Number:CaltechAUTHORS:20140819-131736568
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20140819-131736568
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:48687
Collection:CaltechAUTHORS
Deposited By: Jason Perez
Deposited On:19 Aug 2014 22:24
Last Modified:13 Dec 2016 20:55

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