文章基本信息

标题：Hand Gesture Recognition Using Appearance Features Based on 3D Point Cloud
本地全文：下载
作者：Yanwen Chong ; Jianfeng Huang ; Shaoming Pan 等
期刊名称：Journal of Software Engineering and Applications
印刷版ISSN：1945-3116
电子版ISSN：1945-3124
出版年度：2016
卷号：09
期号：04
页码：103-111
DOI：10.4236/jsea.2016.94009
语种：English
出版社：Scientific Research Publishing
摘要：This paper presents a method for hand gesture recognition based on 3D point cloud. Digital image processing technology is used in this research. Based on the 3D point from depth camera, the system firstly extracts some raw data of the hand. After the data segmentation and preprocessing, three kinds of appearance features are extracted, including the number of stretched fingers, the angles between fingers and the gesture region’s area distribution feature. Based on these features, the system implements the identification of the gestures by using decision tree method. The results of experiment demonstrate that the proposed method is pretty efficient to recognize common gestures with a high accuracy.
关键词：Human-Computer-Interaction;Gesture Recognition;3D Point Cloud;Depth Image