WiRD-Gest: Gesture Recognition In The Real World Using Range-Doppler Wi-Fi Sensing on COTS Hardware
Jessica Sanson, Rahul C. Shah, Yazhou Zhu, Rafael Rosales, Valerio Frascolla

TL;DR
WiRD-Gest introduces a Wi-Fi gesture recognition system using monostatic sensing on COTS hardware, achieving high accuracy and robustness in complex environments, and provides an open benchmark dataset.
Contribution
The paper presents the first monostatic Wi-Fi gesture recognition system with a comprehensive benchmark and dataset, improving robustness and generalization over prior methods.
Findings
High accuracy in crowded, dynamic environments
Robust performance with minimal degradation in real-world scenarios
Open source benchmark and dataset for future research
Abstract
Wi-Fi sensing has emerged as a promising technique for gesture recognition, yet its practical deployment is hindered by environmental sensitivity and device placement challenges. To overcome these limitations we propose Wi-Fi Range and Doppler (WiRD)-Gest, a novel system that performs gesture recognition using a single, unmodified Wi-Fi transceiver on a commercial off-the-shelf (COTS) laptop. The system leverages an monostatic full duplex sensing pipeline capable of extracting Range-Doppler (RD) information. Utilizing this, we present the first benchmark of deep learning models for gesture recognition based on monostatic sensing. The key innovation lies in how monostatic sensing and spatial (range) information fundamentally transforms accuracy, robustness and generalization compared to prior approaches. We demonstrate excellent performance in crowded, unseen public spaces with dynamic…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIndoor and Outdoor Localization Technologies · Wireless Networks and Protocols · Energy Efficient Wireless Sensor Networks
