Wi-Fi Doppler Spectrum Data for Human Presence Detection

This dataset supports research on human presence detection using Wi-Fi range-filtered Doppler spectrum, as presented in a 2026 IEEE PerCom workshop paper by Jessica Bartholdy Sanson, Rahul C. Shah, and Valerio Frascolla. It contains time series data tagged for Wi-Fi, Doppler Spectrum, and Wireless Sensing.

Use Cases

• Train models to detect human presence using Wi-Fi Doppler Spectrum features.
• Analyze patterns in Wireless Sensing data for activity recognition.
• Benchmark human detection algorithms using Time Series data from commodity Wi-Fi hardware.

Strengths

• Data is associated with a peer-reviewed 2026 IEEE PerCom workshop publication.
• Dataset is explicitly tagged for key research areas: Wi-Fi, Doppler Spectrum, and Wireless Sensing.

Limitations

• Specific data structure details like row count, column names, and file formats are unknown.
• The sample data is unavailable, making initial exploration and format validation impossible.

Provenance

Source

Intel Corporation, via authors Jessica Bartholdy Sanson, Rahul C. Shah, Valerio Frascolla.

Collection Method

Collected for the research paper 'Human Presence Detection via Wi-Fi Range-Filtered Doppler Spectrum on Commodity Laptops'.

Freshness

Last updated on 2026-03-13.