JessicaSanson/Wi-Fi_Monostatic_Human_Sensing_CSI_Intel

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)

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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.

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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.

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.

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Measurement Scenarios

Approach-Leave Cycles (two recordings, one per laptop)

A user walks toward and away from the laptop across the range 0.5 m to 8 m and back, at a natural pace. Two full approach-leave sequences were recorded — one on the HP laptop and one on the Lenovo ThinkPad.

Static Breathing (HP laptop only)

One user sits still at ~3 m from the HP laptop and breathes normally. No macro-movement; only micro-Doppler from respiration.

Zone Labels

Distance zones are annotated in 1 m steps (0–8 m), synchronized to a ground-truth video recording captured simultaneously. Labels identify the user's distance zone at each time frame.

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Hardware & Capture Parameters

Parameter	Value
Hardware	HP laptop (Wi-Fi 7) + Lenovo ThinkPad (Wi-Fi 6E)
Bandwidth	160 MHz
Frame rate	~100 Hz
Channel	79 (Fc ≈ 6.3 GHz)
Subcarriers	512 (CSI subcarriers only, pilots removed)
LTF frames	2 (csi1, csi2) - 1 RX antenn

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CSI Data Format

Calibration State

The CSI samples in csi.csv are frequency-domain measurements that have already been pre-processed:

• Pilot subcarriers removed — only the 512 subcarriers are retained ( included zero data subcarriers).
• Phase and delay calibrated — phase alignment / synchronization has been applied compensating for carrier frequency offset and timing offset.
• Two LTF frames averaged per measurement frame (Ltf1 and Ltf2 from the raw stream are combined into the csi1/csi2 columns).

The data is ready for direct 2D DFT processing to produce range-Doppler maps. No additional calibration or pilot removal is required.

CSV Columns

Each row in csi.csv is one measurement frame (~10 ms interval at 100 Hz). Columns:

Column	Description
event_timeStamp	Device event timestamp (integer, ms)
unix_timestamp	Unix time in seconds (float)
channel	Wi-Fi channel number
bandwidth_MHz	Capture bandwidth in MHz
measurement_time_repetition_ms	Target frame interval in ms
frequency_carrier_MHz	Carrier frequency in MHz
subcarrier_number	Number of data subcarriers (512)
csi1-{i}-real	LTF 1, subcarrier i, real part (i = 0..511)
csi1-{i}-imag	LTF 1, subcarrier i, imaginary part (i = 0..511)
csi2-{i}-real	LTF 2, subcarrier i, real part (i = 0..511)
csi2-{i}-imag	LTF 2, subcarrier i, imaginary part (i = 0..511)

Ground Truth Labels (labels/labels.csv)

Column	Description
Label ID	Sequential label index
Label	Activity label (e.g., sit, stand_up, walk, distance zone)
Start Time	Start timestamp (device ms)
End Time	End timestamp (device ms)
Start Frame	Start frame index in csi.csv
End Frame	End frame index in csi.csv

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File Structure

.data/
├── README.md                  ← this file
├── walking_HP/                ← HP laptop (Wi-Fi 7) — approach-leave walk
│   ├── csi.csv                ← calibrated CSI
│   └── labels/
│       ├── labels.csv         ← zone labels aligned to CSI frames
├── walking_LENOVO/            ← Lenovo ThinkPad (Wi-Fi 6E) — approach-leave walk
│   ├── csi.csv
│   └── labels/
│       ├── labels.csv
└── breathing_HP/              ← HP laptop (Wi-Fi 7) — static breathing
    ├── csi.csv                   

This work was supported by the Horizon Europe SNS JU projects 6G-SENSES (grant 101139282) and MULTIX (grant 101192521). Ethics and Privacy Informed consent obtained from all participants Full GDPR compliance Anonymized participant IDs No PII, video, or audio recordings

Citation

If you use this dataset, please cite:

 Sanson J., Shah R., Frascolla V. (2026).
Human Presence Detection via Wi-Fi Range-Filtered Doppler Spectrum on Commodity Laptops.
IEEE PerCom 2026 — WiSense Workshop.
DOI: https://zenodo.org/records/18594750