DoRF++: Spherical Representation Learning over Doppler Radiance Fields for Robust Wi-Fi Sensing
Motivated by the IEEE 802.11bf effort to standardize advanced WLAN sensing, interest in Wi-Fi Channel State Information (CSI) for passive, device-free, and privacy-preserving activity and gesture recognition has grown rapidly. Recent studies have shown that Doppler velocity projections extracted from CSI, which directly reflect human-motion velocity, enable more robust human activity recognition (HAR) and stronger generalization across users and unseen conditions. Nevertheless, reliable generalization under real-world variability remains a major challenge that hinders the adoption of Wi-Fi sensing. To address this challenge, we build on Doppler Radiance Fields (DoRF), adapting the concept...
| Authors | Navid Hasanzadeh, Shahrokh Valaee |
|---|---|
| Primary category | cs.CV |
| Published | 9 August 2026 |
| Last updated at source | 19 September 2026 |
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