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mCrowd: a platform for mobile crowdsourcing

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Conference On Embedded Networked Sensor Systems archive
Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems table of contents

Berkeley, California

DEMONSTRATION SESSION: Demo abstracts table of contents

Pages: 347-348

Year of Publication: 2009

ISBN:978-1-60558-519-2

Authors

Tingxin Yan	University of Massachusetts, Amherst, MA
Matt Marzilli	University of Massachusetts, Amherst, MA
Ryan Holmes	University of Massachusetts, Amherst, MA
Deepak Ganesan	University of Massachusetts, Amherst, MA
Mark Corner	University of Massachusetts, Amherst, MA

Sponsors

SIGCOMM: ACM Special Interest Group on Data Communication
SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
SIGOPS: ACM Special Interest Group on Operating Systems
SIGARCH: ACM Special Interest Group on Computer Architecture
SIGBED: ACM Special Interest Group on Embedded Systems

Publisher

ACM New York, NY, USA

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ABSTRACT

Crowdsourcing is a new paradigm for utilizing the power of "crowds" of people to facilitate large scale tasks that are costly or time consuming with traditional methods. Crowdsourcing has enormous potential that can be truly unleashed when extended to sensor-rich mobile devices, such as smart phones. In this paper, we demonstrate mCrowd, an iPhone based mobile crowdsourcing platform that enables mobile users to post and work on sensor-related crowdsourcing tasks. mCrowd enables mobile users to fully utilize the rich sensors equipped with iPhone to participate and accomplish crowdsourcing tasks at fingertips, including geolocation-aware image collection, image tagging, road traffic monitoring, and others.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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