摘要
手语是聋哑人使用的语言。在手势输入设备发展二十多年以后,许多人仍然发现在与聋哑人的互动交流中存在着一定的困难。因此应该努力使计算机适应自然的交流方式。文中的目的是利用肤色检测程序从整个图像上获取有意义的手势区域,并处理不同室内背景和照明情况下的手势,为进一步的手语识别做准备。对几个静态手势的检测过程进行了实验评估,并就结果进行了讨论。
Sign language is a language used deaf and dumb persons. After more than two dccades of input devices development, many people still find the interaction with deaf and durnh persons a certain difficulty. So efforts should be made to adapt computers to natural means of communication. The aim of this paper is to obtain the meaningful hand region from the whole image by using skin color deteetlon proeess, and deal with hand gestures against different indoor backgrounds and lighting condition, and prepare for sign language reengnltion, Evaluates a few static hand gestures and discusses the result.
出处
《计算机技术与发展》
2008年第3期105-108,共4页
Computer Technology and Development
基金
陕西省教育科研计划资助项目(07JK292)
陕西省自然科学基金项目(2005F50)
关键词
肤色检测
手势分割
颜色模型
手语
skin color detection
hand gesture segmentation
color model
sign language
