手势识别非常重要的一个特点是要体验要好，即需要以用户为核心。而手势的定位一般在手势识别过程的前面，在上一篇博文Kinect+OpenNI学习笔记之8(Robert Walter手部提取代码的分析) 中已经介绍过怎样获取手势区域，且取得了不错的效果，但是那个手势部位的提取有一个大的缺点，即需要人站立起来，当站立起来后才能够分隔出手。而手势在人之间的交流时，并不一定要处于站立状态，所以这不是一个好的HCI。因此本文介绍的手势部位的提取并不需要人处于站立状态，同样取得了不错的效果。-A characteristic gesture recognition is very important to experience better, and that needs to be user core. Gestures positioning generally in front of the gesture recognition process on a blog Kinect+OpenNI learning notes (Robert Walter hands to extract the code analysis) has been described how to obtain the gesture area, and achieved good results, but that gestures parts extraction have a big drawback, namely the need to stand up, be able to stand up before separated shot. While the gesture when the exchanges between the people, not necessarily to be in a standing position, so this is not a good HCI. So part of the extract of the article describes the gesture does not need people in the standing position, also achieved good results.