基于Kinect角度测量的姿势识别算法

人体姿势识别在医疗康复等领域中有着重要的作用。为了提高姿势识别的准确率,提出了一种利用Kinect测量角度的人体姿势识别方法。首先,利用Kinect获取人体关节点的空间坐标。然后,通过两点法计算角度的大小并定义人体姿势库。最后,与姿势库进行角度匹配实现姿势识别。实验结果表明：此方法能够实时准确地识别人体姿势,并且可以通过组建不同的姿势库来识别更多的姿势。

Posture recognition algorithm based on angle measurement with Kinect

Posture recognition plays an important role in many applications,such as rehabilitation.To improve the accuracy of posture recognition,propose a new method for human posture recognition based on Kinect.Firstly,Kinect is used to obtain the world coordinates of joints.Then through two-point method to calculate angle and define human posture library.Finally,angle matching is carried out with posture library to realize gesture recognition.Experimental results show that this method can real-time accurately identify postures,and build different posture library to recognize more postures.