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Low cost crowd counting using audio tones

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Author(s)
Kannan, Pravein Govindan
•
Venkatagiri, Seshadri Padmanabha
•
Chan, Mun Choon
•
Ananda, Akhihebbal L.
•
Peh, Li-Shiuan
Date Issued
November 2012
Journal
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems (SenSys '12)
Publisher
Association for Computing Machinery (ACM)
Citation
Pravein 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.
Version
Author's final manuscript
Abstract
With 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.
MIT Department
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
http://creativecommons.org/licenses/by-nc-sa/4.0/
Persistent DSpace Link
http://hdl.handle.net/1721.1/90539
DOI of Published Version
https://doi.org/10.1145/2426656.2426673
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