Measuring human queues using wifi signals

Yan Wang, Jie Yang, Hongbo Liu, Yingying Chen, Marco Gruteser, Richard P. Martin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

22 Scopus citations

Abstract

We investigate using smartphoneWiFi signals to track human queues, which are common in many business areas such as retail stores, airports, and theme parks. Real-time monitoring of such queues would enable a wealth of new applications, such as bottleneck analysis, shift assignments, and dynamic workflow scheduling. We take a minimum infrastructure approach and thus utilize a single monitor placed close to the service area along with transmitting phones. Our strategy extracts unique features embedded in the signal traces to infer the critical time points when a person reaches the head of the queue and finishes service, and from these inferences we derive a person's waiting and service times. We develop a feature driven approach in our system. Extensive experiments conducted both in the laboratory demonstrate that our system is robust to queues with different waiting time. We show that in spite of noisy signal readings, our methods can measure important time periods in queue (e.g., service and waiting times) to within a 10 second resolution.

Original languageEnglish (US)
Title of host publicationMobiCom 2013 - Proceedings of the 19th Annual International Conference on Mobile Computing and Networking
Pages235-237
Number of pages3
DOIs
StatePublished - 2013
Event19th Annual International Conference on Mobile Computing and Networking, MobiCom 2013 - Miami, FL, United States
Duration: Sep 30 2013Oct 4 2013

Publication series

NameProceedings of the Annual International Conference on Mobile Computing and Networking, MOBICOM

Other

Other19th Annual International Conference on Mobile Computing and Networking, MobiCom 2013
Country/TerritoryUnited States
CityMiami, FL
Period9/30/1310/4/13

All Science Journal Classification (ASJC) codes

  • Software
  • Hardware and Architecture
  • Computer Networks and Communications

Keywords

  • Human queue
  • Smartphone
  • Wifi

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