摘要
本文从分析人机交互研究的目的出发 ,介绍了用户产生手势到系统“感知”手势的过程 ,包括手势的建模及识别的原理和方法 .本文在对手结构和手关节运动分析的基础上 ,提出了基于数据手套和基于视觉(摄象机 )的手势输入方式 ,通过手势图象的分析 ,采用模糊神经网络方法对手势图象进行识别 ,取得了较好的效果 ,实现了一种在虚拟环境中具有广阔运用前景的
Starting from analyzing the purpose of man machine interactive technology, this paper introduces the process of detecting a gesture generated by user including the fundamentals and methods of gesture recognition. An input method of gesture using data glove or camera is proposed based on the analysis of hand structure and hand joints motions. With the 3D based and vision based modeling, the gesture images are analyzed by computer and recognized by BP neural networks or fuzzy neural networks. The results ...
出处
《信息与控制》
CSCD
北大核心
2001年第S1期719-722,共4页
Information and Control
基金
船舶行业国防预研基金项目
关键词
虚拟现实
手势识别
三维交互
神经网络
virtual reality
gesture recognition
3D interaction
neural networks
