Wi-Fi Monostatic Full Duplex Human Sensing

Dataset Overview Scope notice: This is a sample dataset released to accompany the paper and enable reproducibility of the reported results. It contains a small number of recordings (3 sessions, 2 subjects, 2 devices). For algorithm validation, signal processing research, or replication of the paper's Range-Filtered Doppler Spectrum method, the data is sufficient as-is. Human Presence Detection via Wi-Fi Range-Filtered Doppler Spectrum — Sample Dataset Paper: Human Presence Detection via Wi-Fi Range-Filtered Doppler Spectrum on Commodity Laptops Authors: Jessica Bartholdy Sanson, Rahul C. Shah, Valerio Frascolla Year: 2026 Venue: IEEE PerCom 2026 — WiSense Workshop (Workshop on Wireless Sensing for Smart Spaces and Beyond) This dataset contains Channel State Information (CSI) recordings for Human Presence Detection (HPD) — capturing macro-level human movement (walking, approach/leave, breathing at rest). The data is collected using monostatic full-duplex Wi-Fi sensing on commercial off-the-shelf (COTS) laptops — no external sensors, no dedicated transmitter, no hardware modification of any kind. Unlike bistatic datasets that require a separate transmitter (e.g., a router) and receiver, here a single unmodified laptop simultaneously transmits and receives by sharing the Local Oscillator and baseband processing, using the device's own self-interference as the sensing signal. CSI is read directly from the built-in NIC. License Creative Commons Attribution 4.0 — Copyright (c) 2026 Intel Corporation Permission is hereby granted, free of charge, to any person obtaining a copy of this dataset and associated documentation, to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies, subject to the above copyright notice and this permission notice appearing in all copies.