摘要
自从1992年激光投影键盘发明以来，其良好的光景交互体验吸引了众多光景效果爱好者。若能在其键盘功能基础上再完成一些较简单的空间平面手势识别，将会满足更多的个性化交互追求。该文通过基于径向基函数神经网络的人机交互手势识别算法研究了激光投影键盘的手势识别功能扩展方法，并通过实验测试预定义的10种手势动作，实验结果表明识别率达到96.4%，从而一定程度上实现了激光键盘手势识别功能扩展的个性化交互追求。
Since 1992, the invention of the laser projection keyboard attracts a large number of lighting effects lovers by its good light interactive experience. If increases some simple space plane gesture recognition based on the keyboard function, it will meet more personalized interactive pursuit. Through human-computer interaction gesture recognition algorithm based on radial basis function neural network, the extension methods is studied in this paper, which is tested by 10 predefined gestures. The result shows that the recognition rate is up to 96.4%, and achieves the pursuit of personalized interaction on the laser keyboard ges-tures recognition function.
作者
贺天章
杨沛
汪良会
HE Tian-zhang, YANG Pei, WANG Liang-hui
出处
《电脑知识与技术》
2014年第1期143-146,共4页
Computer Knowledge and Technology
关键词
激光投影键盘
手势识别
神经网络
RBF神经网络
训练样本
the laser projection keyboard
gesture recognition
neural network
RBF neural network
training sample
