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一种基于手势的虚拟场景交互方法
引用本文:刘惠义,王治.一种基于手势的虚拟场景交互方法[J].系统仿真学报,2011,23(12):2671-2675.
作者姓名:刘惠义  王治
作者单位:河海大学计算机及信息工程学院,南京,210098
基金项目:国家自然科学基金(60673186)
摘    要:手势作为一种自然的交互方式,不但方便了人与计算机的交互,而且也是对传统鼠标和键盘交互方式的一种有益补充。提出一种基于手势的虚拟环境交互方法,首先对视频采集到的手势图像进行预处理,获得手势二值图像,根据二值图像计算Zernike归一化矩,以获得手势的特征信息;然后利用BP神经网络对手势进行识别;最后根据识别的结果,驱动视点运动,实现虚拟场景的漫游。实验结果表明,该方法具有识别率高和稳定性好的优点。

关 键 词:图像预处理  Zernike矩  BP神经网络  人机交互

Method on Hand Gesture-based Interaction in Virtual Scene
LIU Hui-yi,WANG Zhi.Method on Hand Gesture-based Interaction in Virtual Scene[J].Journal of System Simulation,2011,23(12):2671-2675.
Authors:LIU Hui-yi  WANG Zhi
Institution:LIU Hui-yi,WANG Zhi(Computer & Information Engineering College,Hohai University,Nanjing 210098,China)
Abstract:Hand-gesture is a natural HCI manner.It not only facilitates the interaction between people and computers,but also provides a useful supplement on the traditional interaction as mouse and keyboard.A method on hand gesture-based interaction was proposed in virtual scene.Firstly,the binary image of hand gesture was got after image pre-processing,then zernike normalized moments was calculated to get features of hand-gesture.Finally,BP neural network was applied to hand-gesture recognition.It is successful to a...
Keywords:image pre-processing  Zernike moments  BP neural network  human-computer interaction  
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