community · 5 papers
WiFi Crowd Sensing and Counting
WiFi-based passive sensing for crowd counting and density estimation in public spaces, particularly transportation environments, is the central focus. Methods span probe request analysis, CSI fingerprinting, and deep learning to infer occupancy and movement without active user participation. A recurring concern is privacy, including the implications of MAC address randomization and techniques for privacy-preserving crowd monitoring.
Papers in this community
- Sensing Technologies for Crowd Management, Adaptation, and Information Dissemination in Public Transportation Systems: A Review 2023 DOI ↗
- Privacy-preserving WiFi fingerprint-based people counting for crowd management 2024 DOI ↗
- Estimating indoor crowd density and movement behavior using WiFi sensing 2022 DOI ↗
- A low-cost automatic people-counting system at bus stops using Wi-Fi probe requests and deep learning 2025 DOI ↗
- A Tutorial on Privacy, RCM and Its Implications in WLAN 2024 DOI ↗