Measuring the accuracy of crowd counting using Wi-Fi probe-request-frame counting technique

Ooi Boon Yaik, Kong Zan Wai, Ian K. T. Tan, Ooi Boon Sheng

Research output: Contribution to journalArticlepeer-review

13 Citations (Scopus)

Abstract

Wi-Fi in smartphones are designed to periodically transmit probe-request-frame to determine when a known access point is within range and by capitalizing this Wi-Fi behavior, crowd counting and analysis have been done by continuous monitoring and counting these Wi-Fi frames. The proliferation of Wi-Fi enabled mobile devices and the ever-increasing number of mobile devices in use, suggests opportunities for developing lowcost crowd counting and analysis solution. This work attempt to measure how well do monitoring and counting these Wi-Fi frames correlate with the actual number of people presence in a crowd. In this paper, we also compare the pros and cons of various crowd counting technologies, describe the system that we used for counting Wi-Fi frames and compare its accuracy against manual crowd counting technique in an event involving the public continuously for 8 hours. The results are promising, the correlation between manual counting and Wi-Fi frames counting is 0.89322. In addition to that, the Wi-Fi frames counting technique can even reveal the retention rate of the crowd.

Original languageEnglish
Pages (from-to)79-81
Number of pages3
JournalJournal of Telecommunication, Electronic and Computer Engineering
Volume8
Issue number2
Publication statusPublished - 2016

Keywords

  • 802.11 frames capturing
  • Crowd counting
  • Wi-fi sensing

ASJC Scopus subject areas

  • Hardware and Architecture
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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