Description

Estimating whether a space is occupied, by how many people, and increasingly with what activity profile. Unlike instantaneous crowd-counting, occupancy estimation typically targets longer time-scales (minutes to hours) and is framed in the context of building services — HVAC scheduling, lighting control, space utilization analytics. The combined detection / counting / estimation framing is standard in the smart-building literature; this note treats them as one problem with three granularities (binary occupied/empty → integer count → continuous estimate with uncertainty).

Why it's hard

  • Sensor sparsity: a single PIR or CO2 sensor per room loses information on multi-occupant dynamics.
  • CSI/RSSI counting drift over hours as the environment changes (furniture moves, doors open, multipath shifts).
  • Stationary versus moving occupants generate very different signal signatures; stationary occupants are easy to miss.
  • Ground truth is hard to label at scale — manual counts, camera baselines, or device-based estimates are each biased differently.
  • Cross-room generalization is poor; per-room calibration is the norm.

Common approaches

  • WiFi CSI amplitude/phase statistics with classical or deep regressors (per-room training).
  • BLE advertisement counts plus occupancy heuristics, sometimes with reinforcement learning.
  • Multi-modal fusion of CSI + BLE + CO2 + PIR for building management systems.
  • Probe-request / ambient-traffic-based passive monitoring without dedicated active probing.

Source Papers

  • chaudhari2024_6efc — fundamentals, algorithms, and technologies of occupancy detection for smart buildings.
  • chen2018_97e0 — building occupancy estimation and detection: a review.
  • jung2025_3f2e — WiFi CSI-based room-level occupancy estimation in multi-zone residential settings.
  • mondal2023_7f7a — classroom occupancy estimation using WiFi CSI.
  • billah2021_69a2 — BLE Can See: RL approach for RF-based indoor occupancy detection.
  • shahbazian2023_1172 — RF-signal survey of occupancy and activity detection.

28 vault papers address this problem

Titles and DOIs only — no abstracts, no analyses.

  • Device-free occupancy detection and crowd counting in smart buildings with WiFi-enabled IoT 2018 DOI ↗
  • A Survey on Human Behavior Recognition Using Channel State Information 2019 DOI ↗
  • SenseFi: A library and benchmark on deep-learning-empowered WiFi human sensing 2023 DOI ↗
  • Fast and Robust Stationary Crowd Counting With Commodity WiFi 2026 DOI ↗
  • Towards Energy Efficient Wireless Sensing by Leveraging Ambient Wi-Fi Traffic 2024 DOI ↗
  • A Foundational Edge-AI Sensing Framework for Occupancy-Driven Energy Management in SMOs 2026 DOI ↗
  • A Foundational Edge-AI Sensing Framework for Occupancy-Driven Energy Management in SMOs 2026 DOI ↗
  • Fundamentals, Algorithms, and Technologies of Occupancy Detection for Smart Buildings Using IoT Sensors 2024 DOI ↗
  • Human Sensing by Using Radio Frequency Signals: A Survey on Occupancy and Activity Detection 2023 DOI ↗
  • Building occupancy estimation and detection: A review 2018 DOI ↗
  • Accurate occupancy estimation with WiFi and bluetooth/BLE packet capture 2019 DOI ↗
  • CROOD: Estimating crude building occupancy from mobile device connections without ground-truth calibration 2022 DOI ↗
  • A low-cost BLE-based distance estimation, occupancy detection and counting system 2021 DOI ↗
  • A Survey on Green Wireless Sensing: Energy-Efficient Sensing via WiFi CSI and Lightweight Learning 2026 DOI ↗
  • WiFi as Infrastructure: Valuation Impact of CSI Sensing on Smart Buildings and REIT Portfolios 2026 DOI ↗
  • Deep Learning-Enhanced Human Sensing with Channel State Information: A Survey 2026 DOI ↗
  • Poster Abstract: Q-Count, Single-Link Wifi CSI People Counting in Quasi-Static Offices 2026 DOI ↗
  • Implementing Wi-Fi CSI-based room-level occupancy Estimation: an experimental study in multi-zone residential environments 2025 DOI ↗
  • RSSI-Assisted CSI-Based Passenger Counting with Multiple Wi-Fi Receivers 2025 DOI ↗
  • Meta-Learning-Based People Counting and Localization Models Employing CSI From Commodity Wi-Fi NICs 2025 DOI ↗
  • Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions 2024 DOI ↗
  • EasyCount: Crowd Counting Based on Easy Deployment Using Commodity Wi-Fi 2024 DOI ↗
  • CSI-Based People Counting in WiFi Networks: Leveraging Occupancy Detection 2024 DOI ↗
  • Data Assimilation for Agent-Based Models 2023 DOI ↗
  • A Framework to Estimate Classroom Occupancy using WiFi Channel State Information 2023 DOI ↗
  • CSI crowd-counting: An experimental study using Machine Learning and Deep Learning Algorithms 2023 DOI ↗
  • Edge-Based Real-Time Occupancy Detection System through a Non-Intrusive Sensing System 2023 DOI ↗
  • INTEGRATION OF IOT SENSORS TO 3D INDOOR MODELS WITH INDOORGML 2020 DOI ↗