On-device Real-time Hand Gesture Recognition
Abstract
We present an on-device real-time hand gesture recogni-tion (HGR) system, which detects a set of predefined staticgestures from a single RGB camera. The system consists oftwo parts: a hand skeleton tracker and a gesture classifier.We improve and extend MediaPipe Hands [12] for the handtracker. We experiment with two different gesture classifiers,one heuristics based and one neural network (NN) based.
Research Areas
