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A People-Counting and Speed-Estimation System Using Wi-Fi Signals.

Liping Tian1, Liangqin Chen1, Zhimeng Xu1

  • 1School of Physics and Information Engineering, Fuzhou University, Fuzhou 350000, China.

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Summary
This summary is machine-generated.

This study introduces a Wi-Fi sensing system to count people and estimate walking speeds. The novel approach achieves high accuracy in detecting crowd flow and individual movement.

Keywords:
Wi-Fichannel state informationdynamic time warpingentering and leavingnumber of personsvariance thresholdwalking speed

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Area of Science:

  • * People counting and movement analysis
  • * Wireless sensing technologies
  • * Crowd dynamics and flow management

Background:

  • * Accurate crowd monitoring is crucial for safety and efficiency.
  • * Existing methods for people counting have limitations.
  • * Wi-Fi signals offer a pervasive and non-intrusive sensing modality.

Purpose of the Study:

  • * To develop a Wi-Fi-based system for real-time people counting and walking speed estimation.
  • * To accurately detect individuals entering and leaving a space.
  • * To analyze crowd flow dynamics using wireless signals.

Main Methods:

  • * Wi-Fi signal processing including subcarrier selection and Hampel filtering for outlier removal.
  • * Double thresholding for detecting entry/exit events.
  • * Dynamic Time Warping (DTW) for matching signals to a pre-collected database.
  • * Variance thresholding for state identification and nonlinear fitting for speed calculation.

Main Results:

  • * High accuracy in people counting: 100% for one person, 81-95% for multiple people in a lab.
  • * Office environment accuracy: 98% for 1-2 people, up to 75% for five people.
  • * Walking speed estimation accuracy: 75% for single person with error < 0.2410 m/s.

Conclusions:

  • * The proposed Wi-Fi sensing system effectively counts people and estimates walking speeds.
  • * The system demonstrates robust performance across different environments and crowd densities.
  • * This technology has significant potential for crowd control and flow analysis.