Leveraging Wi-Fi Signals to Monitor Human Queues

Abstract

A new approach exploits existing Wi-Fi infrastructure to extract unique Wi-Fi signal patterns from the smartphones of people in lines to estimate wait times. The approach can work under real-world queue scenarios in various environments without requiring a specialized infrastructure or incurring manpower overhead. Furthermore, it only requires that a small fraction of people waiting in line use Wi-Fi on their smartphones.