RF-based Gesture Recognition

0 benchmarks • 0 datasets

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 )

Latest papers with no code

Accurate Human Gesture Sensing With Coarse-Grained RF Signatures

no code yet • IEEE Access ( Volume: 7 ) 2019

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.