Human Presence Detection via Wi-Fi Range-Filtered Doppler Spectrum on Commodity Laptops
Jessica Sanson, Rahul C. Shah, Valerio Frascolla

TL;DR
This paper introduces a novel Wi-Fi sensing method called RF-DS for human presence detection using only built-in laptop Wi-Fi hardware, enabling privacy-preserving, low-complexity, and scalable occupancy detection without external sensors.
Contribution
The paper presents the first low-complexity, monostatic Wi-Fi sensing technique for laptops that detects human presence without external devices or privacy concerns.
Findings
Achieved stable presence detection with temporal windowing.
Reduced computational complexity through range-area filtering.
Implemented adaptive CSI sampling for energy efficiency.
Abstract
Human Presence Detection (HPD) is key to enable intelligent power management and security features in everyday devices. In this paper we propose the first HPD solution that leverages monostatic Wi-Fi sensing and detects user position using only the built-in Wi-Fi hardware of a device, with no need for external devices, access points, or additional sensors. In contrast, existing HPD solutions for laptops require external dedicated sensors which add cost and complexity, or rely on camera-based approaches that introduce significant privacy concerns. We herewith introduce the Range-Filtered Doppler Spectrum (RF-DS), a novel Wi-Fi sensing technique for presence estimation that enables both range-selective and temporally windowed detection of user presence. By applying targeted range-area filtering in the Channel Impulse Response (CIR) domain before Doppler analysis, our method focuses…
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