Wi-count: Passing people counting with COTS WiFi devices

Yanni Yang, Jiannong Cao, Xuefeng Liu, Xiulong Liu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

28 Citations (Scopus)


People counting provides valuable information on population mobility and human dynamics, which plays a critical role for intelligent crowd control and retail management. Recently, people counting has been achieved via radio-frequency signals as human presence can influence the propagation of wireless signals, from which the information of the moving crowd can be extracted. However, most of the existing studies using wireless signals only apply to the scenario when people keep moving all the time. Besides, they require labour-intensive training phase for building the counting model. In the Wi-Count system, we take another approach, which is to count the people passing by the doorway with COTS WiFi devices. It can not only detect the passing direction, but also identify the number of people even when multiple persons pass by concurrently without regulating passing behavior and pre-trained counting model. The passing direction is recognized by modeling the effects of the bi-directional passing behavior on the phase difference of WiFi signals. In addition, the number of passing people is obtained through an enhanced signal separation algorithm for providing precise counting result. Extensive experiments show the average accuracy on passing direction detection and passing people counting are about 95% and 92% respectively.

Original languageEnglish
Title of host publicationICCCN 2018 - 27th International Conference on Computer Communications and Networks
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538651568
Publication statusPublished - 9 Oct 2018
Event27th International Conference on Computer Communications and Networks, ICCCN 2018 - Hangzhou City, Zhejiang Province, China
Duration: 30 Jul 20182 Aug 2018

Publication series

NameProceedings - International Conference on Computer Communications and Networks, ICCCN
ISSN (Print)1095-2055


Conference27th International Conference on Computer Communications and Networks, ICCCN 2018
CityHangzhou City, Zhejiang Province


  • People counting
  • Phase information
  • WiFi device

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Hardware and Architecture
  • Software


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