On-device Real-time Hand Gesture Recognition

arxiv(2021)

引用 0|浏览14
暂无评分
摘要
We present an on-device real-time hand gesture recognition (HGR) system, which detects a set of predefined static gestures from a single RGB camera. The system consists of two parts: a hand skeleton tracker and a gesture classifier. We use MediaPipe Hands as the basis of the hand skeleton tracker, improve the keypoint accuracy, and add the estimation of 3D keypoints in a world metric space. We create two different gesture classifiers, one based on heuristics and the other using neural networks (NN).
更多
查看译文
关键词
hand gesture recognition,on-device,real-time
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络