community · 41 papers
WiFi CSI Human Sensing
Wireless sensing using commodity RF signals — primarily Wi-Fi CSI but also BLE and radar — for detecting and recognizing human presence, activity, gait, crowd counting, and occupancy is the central focus. The dominant methods span machine learning, deep learning, few-shot learning, and reinforcement learning applied to channel state information collected from off-the-shelf hardware. A recurring challenge addressed across many papers is generalizability across environments and domains, including cross-domain adaptation, dataset reproducibility, and robustness to varying deployment conditions.
Papers in this community
- WiFi Sensing with Channel State Information 2020 DOI ↗
- Understanding and Modeling of WiFi Signal Based Human Activity Recognition 2015 DOI ↗
- Precise Power Delay Profiling with Commodity WiFi 2015 DOI ↗
- Predictable 802.11 packet delivery from wireless channel measurements 2010 DOI ↗
- Gait recognition using wifi signals 2016 DOI ↗
- Towards Environment Independent Device Free Human Activity Recognition 2018 DOI ↗
- A Survey on Human Behavior Recognition Using Channel State Information 2019 DOI ↗
- Cross-Domain WiFi Sensing with Channel State Information: A Survey 2023 DOI ↗
- Tool release 2011 DOI ↗
- Wi-CaL: WiFi Sensing and Machine Learning Based Device-Free Crowd Counting and Localization 2022 DOI ↗
- Keystroke Recognition Using WiFi Signals 2015 DOI ↗
- DASECount: Domain-Agnostic Sample-Efficient Wireless Indoor Crowd Counting via Few-Shot Learning 2023 DOI ↗
- Free Your CSI 2019 DOI ↗
- Practical Issues and Challenges in CSI-based Integrated Sensing and Communication 2022 DOI ↗
- A Survey on Wi-Fi Sensing Generalizability: Taxonomy, Techniques, Datasets, and Future Research Prospects 2026 DOI ↗
- On CSI and Passive Wi-Fi Radar for Opportunistic Physical Activity Recognition 2022 DOI ↗
- Towards Energy Efficient Wireless Sensing by Leveraging Ambient Wi-Fi Traffic 2024 DOI ↗
- WiFi CSI-based device-free sensing: from Fresnel zone model to CSI-ratio model 2022 DOI ↗
- Passive WiFi Radar for Human Sensing Using a Stand-Alone Access Point 2021 DOI ↗
- WiFi-Based Human Sensing With Deep Learning: Recent Advances, Challenges, and Opportunities 2024 DOI ↗
- Boosting WiFi Sensing Performance via CSI Ratio 2021 DOI ↗
- Human Activity Recognition via Wi-Fi and Inertial Sensors With Machine Learning 2024 DOI ↗
- A Survey on Wireless Device-free Human Sensing: Application Scenarios, Current Solutions, and Open Issues 2023 DOI ↗
- Unobtrusive Occupancy Detection with FastGRNN on Resource-Constrained BLE Devices 2019 DOI ↗
- Leveraging Online Learning for Domain-Adaptation in Wi-Fi-Based Device-Free Localization 2025 DOI ↗
- Context-Aware Predictive Coding: A Representation Learning Framework for WiFi Sensing 2024 DOI ↗
- Wireless Sensing for Metaverse 2026 DOI ↗
- PULSE: Physics-Aware Temporal Embedding Learning for Domain Adaptive Wireless Sensing 2026 DOI ↗
- NearSense: Exploring NearLink for New-Generation Wireless Sensing 2026 DOI ↗
- MetAegis: Defend Against Physical-layer Wireless Sensing Leakage via Metasurface Obfuscation 2026 DOI ↗
- IoT solutions for e-Health applications for care's continuity at home 2026 DOI ↗
- Investigation of Environment Dependence in Wi-Fi CSI-Based Crowd Counting Systems 2024 DOI ↗
- Human Sensing by Using Radio Frequency Signals: A Survey on Occupancy and Activity Detection 2023 DOI ↗
- Fast and Robust Stationary Crowd Counting With Commodity WiFi 2026 DOI ↗
- Estimation of Water-Surface Variations Using Wi-Fi Channel State Information 2026 DOI ↗
- EasyCount: Crowd Counting Based on Easy Deployment Using Commodity Wi-Fi 2024 DOI ↗
- CSI-based Passenger Counting on Public Transport Vehicles with Multiple Transceivers 2024 DOI ↗
- BLE Can See: A Reinforcement Learning Approach for RF-based Indoor Occupancy Detection 2021 DOI ↗
- A survey on CSI-based Wi-Fi sensing datasets and models with a focus on reproducibility 2026 DOI ↗
- A Framework to Estimate Classroom Occupancy using WiFi Channel State Information 2023 DOI ↗