The Linux 802.11n CSI Tool is an open-source software and hardware platform that enables extraction of raw Channel State Information (CSI) from commodity Intel Wi-Fi wireless link controllers (such as the IWL5300) operating under modified Linux drivers, providing amplitude and phase measurements across multiple OFDM subcarriers and antenna pairs. It is foundational to the Wi-Fi sensing research field because it was among the first accessible tools to expose fine-grained physical-layer channel measurements from commercial hardware, enabling researchers to capture human-induced multipath propagation changes for applications such as activity recognition, localization, and crowd counting without specialized radio equipment. Key variants and alternatives that have emerged in the broader ecosystem include the Atheros CSI Tool (supporting Atheros chipsets) and more recent platforms such as ESP32-based systems and Nexmon CSI, which extend similar CSI extraction capabilities to additional hardware generations and frequency bands, including 5 GHz 802.11ac.
Source Papers
- 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
- CrossSense: Towards Cross-Site and Large-Scale WiFi Sensing ↗ — CrossSense: Towards Cross-Site and Large-Scale WiFi Sensing
- Device-Free Passive Identity Identification via WiFi Signals ↗ — Device-Free Passive Identity Identification via WiFi Signals
- Guiding Wi-Fi Sensor Placement for Enhanced CSI-Based Sensing in Stationary Crowd Counting ↗ — Guiding Wi-Fi Sensor Placement for Enhanced CSI-Based Sensin
- Human Activity Recognition via Wi-Fi and Inertial Sensors With Machine Learning ↗ — Human Activity Recognition via Wi-Fi and Inertial Sensors Wi
- OPERAnet, a multimodal activity recognition dataset acquired from radio frequency and vision-based sensors ↗ — OPERAnet, a multimodal activity recognition dataset acquired
- On CSI and Passive Wi-Fi Radar for Opportunistic Physical Activity Recognition ↗ — On CSI and Passive Wi-Fi Radar for Opportunistic Physical Ac
- Tool release ↗ — Tool release
- Towards Environment Independent Device Free Human Activity Recognition ↗ — Towards Environment Independent Device Free Human Activity R
- Wi-CaL: WiFi Sensing and Machine Learning Based Device-Free Crowd Counting and Localization ↗ — Wi-CaL: WiFi Sensing and Machine Learning Based Device-Free
- WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activity Sensing ↗ — WiMANS: A Benchmark Dataset for WiFi-based Multi-user Activi