Human presence detection is the task of determining whether one or more people are present within a monitored environment using WiFi Channel State Information, by analyzing the perturbations that human bodies introduce into wireless signal propagation. It matters for the field because it represents one of the most foundational sensing problems, enabling a wide range of downstream applications such as smart home automation, security monitoring, and energy management without requiring cameras or wearable devices. Key variants include binary occupancy detection (presence versus absence), crowd counting or occupancy estimation (determining the number of individuals present), and domain-adaptive formulations that address the challenge of deploying trained models across different environments, as explored in few-shot learning approaches like DASECount.

Source Papers

  • An Overview on IEEE 802.11bf: WLAN Sensing — An Overview on IEEE 802.11bf: WLAN Sensing
  • CRPF-QC: An Efficient CSI Recurrence Plot-Based Framework for Queue Counting — CRPF-QC: An Efficient CSI Recurrence Plot-Based Framework fo
  • Channel State Information from Pure Communication to Sense and Track Human Motion: A Survey — Channel State Information from Pure Communication to Sense a
  • DASECount: Domain-Agnostic Sample-Efficient Wireless Indoor Crowd Counting via Few-Shot Learning — DASECount: Domain-Agnostic Sample-Efficient Wireless Indoor
  • Deep Learning-Enhanced Human Sensing with Channel State Information: A Survey — Deep Learning-Enhanced Human Sensing with Channel State Info
  • Device-Free Passive Identity Identification via WiFi Signals — Device-Free Passive Identity Identification via WiFi Signals
  • Occupancy Prediction in IoT-Enabled Smart Buildings: Technologies, Methods, and Future Directions — Occupancy Prediction in IoT-Enabled Smart Buildings: Technol
  • Passive WiFi Radar for Human Sensing Using a Stand-Alone Access Point — Passive WiFi Radar for Human Sensing Using a Stand-Alone Acc
  • Radio Radiance Field: The New Frontier of Spatial Wireless Channel Representation — Radio Radiance Field: The New Frontier of Spatial Wireless C
  • WiFi Sensing with Channel State Information — WiFi Sensing with Channel State Information