摘要
目前基于手势交互的系统应用越来越多,但都是简单的利用手势操作鼠标进行交互,没有向系统进行文字输入的功能。利用盲人字母手势作为输入手势,采用微软的体感设备Kinect获取深度图像,对其进行手势分割,再利用SIFT提取特征,得到手势字母,利用拼音输入法,提供了一种向系统输入汉字的功能。
There have recently been more and more applications based on gesture interaction system applications, but they mainly utilize simple gestures to operate the mouse interaction and have not the function of inputting text into the system. This paper proposes a method of inputting Chinese characters into the systems by using the blind letters gestures as input gestures. In this method, the Kinect of Microsoft is utilized to obtain the depth images, which are further made the split of gestures and the extraction of feature via SIFT. Finally, the method of manual alphabet as Pinyin input is obtained.
出处
《华东理工大学学报（自然科学版）》
CAS
CSCD
北大核心
2013年第5期583-587,640,共6页
Journal of East China University of Science and Technology
基金
安徽省自然基金青年基金项目(11040606Q07)
高校省级重点自然科学研究项目(Kj2010A023)
安徽大学青年科学研究基金(2009QN00198)
安徽大学青年骨干教师培养对象经费资助
