Browse State-of-the-Art › RF-based Gesture Recognition
RF-based Gesture Recognition
0 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
RF-based gesture sensing and recognition has increasingly attracted intense academic and industrial interest due to its various device-free applications in daily life, such as elder monitoring, mobile games. State-of-the-art approaches achieved accurate gesture sensing by using fine-grained RF signatures (such as CSI, Doppler effect) while could not achieve the same accuracy with coarse-grained RF signatures such as received signal strength (RSS).
See e.g.
Project Soli in depth: How radar-detected gestures could set the Pixel 4 apart An experimental Google project may finally be ready to make its way into the real world — and the implications could be enormous. https://www.computerworld.com/article/3402019/google-project-soli-pixel-4.html
( Image credit: Accurate Human Gesture Sensing With Coarse-Grained RF Signatures )
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
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Most implemented papers archive 2025-07-28
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