文献类型：期刊文献

中文题名：基于弹性图匹配的静态手势识别

英文题名：Static Hand Gesture Recognition based on Elastic Graph Matching

作者：王亚利[1];周又玲[1]

机构：[1]华东理工大学电子与通信工程系,上海200237

年份：2004

卷号：10

期号：12

起止页码：56

中文期刊名：现代计算机

外文期刊名：Modern Computer

语种：中文

中文关键词：弹性图匹配;手势识别;Gabor函数;算法;人机交互技术;大小;参数;静态;数字;旋转

外文关键词：Hand Gesture Recognition; Elastic Graph Matching; Gabor Filter; Human-Computer Interface

摘要：手势识别已成为人机交互技术的关键之一。本文提出了基于弹性图匹配的静态手势识别算法。弹性图匹配的关键是Gabor函数参数的选择,本文通过分析Gabor函数特性,恰当地选择了Gabor函数的参数,并考虑手势的平移、旋转和大小,对1到9的数字手势进行了识别实验,结果表明本算法是可行的。
Hand gesture recognition has become one of the key techniques of human-computer interaction HCI.In this paper, a new static hand gesture recognition algorithm is presented. This algorithm is based on the idea of elastic graph matching?穴EGM?雪 and selects the appropriate Gabor elementary expansion functions in the situations of gestures' translation, rotation and scale.This algorithm tests the number hand gestures from 1 to 9. The experiment result shows that this algorithm is feasible.