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dc.contributor.authorKannan, Pravein Govindan
dc.contributor.authorVenkatagiri, Seshadri Padmanabha
dc.contributor.authorChan, Mun Choon
dc.contributor.authorAnanda, Akhihebbal L.
dc.contributor.authorPeh, Li-Shiuan
dc.date.accessioned2014-10-02T16:47:09Z
dc.date.available2014-10-02T16:47:09Z
dc.date.issued2012-11
dc.identifier.isbn9781450311694
dc.identifier.urihttp://hdl.handle.net/1721.1/90539
dc.description.abstractWith mobile devices becoming ubiquitous, collaborative applications have become increasingly pervasive. In these applications, there is a strong need to obtain a count of the number of mobile devices present in an area, as it closely approximates the size of the crowd. Ideally, a crowd counting solution should be easy to deploy, scalable, energy efficient, be minimally intrusive to the user and reasonably accurate. Existing solutions using data communication or RFID do not meet these criteria. In this paper, we propose a crowd counting solution based on audio tones, leveraging the microphones and speaker phones that are commonly available on most phones, tackling all the above criteria. We have implemented our solution on 25 Android phones and run several experiments at a bus stop, aboard a bus, within a cafeteria and a classroom. Experimental evaluations show that we are able to achieve up to 90% accuracy and consume 81% less energy than the WiFi interface in idle mode.en_US
dc.language.isoen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.isversionofhttp://dx.doi.org/10.1145/2426656.2426673en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleLow cost crowd counting using audio tonesen_US
dc.typeArticleen_US
dc.identifier.citationPravein Govindan Kannan, Seshadri Padmanabha Venkatagiri, Mun Choon Chan, Akhihebbal L. Ananda, and Li-Shiuan Peh. 2012. Low cost crowd counting using audio tones. In Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems (SenSys '12). ACM, New York, NY, USA, 155-168.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratoryen_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Scienceen_US
dc.contributor.mitauthorPeh, Li-Shiuanen_US
dc.relation.journalProceedings of the 10th ACM Conference on Embedded Network Sensor Systems (SenSys '12)en_US
dc.eprint.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dspace.orderedauthorsKannan, Pravein Govindan; Venkatagiri, Seshadri Padmanabha; Chan, Mun Choon; Ananda, Akhihebbal L.; Peh, Li-Shiuanen_US
dc.identifier.orcidhttps://orcid.org/0000-0001-9010-6519
mit.licenseOPEN_ACCESS_POLICYen_US
mit.metadata.statusComplete


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