关键词: 动作识别, 骨骼数据, 特征向量, 行为树

Abstract: In recent years, the application scene based on human action recognition is more and more widespread. In order to get better recognition effect, this paper presents an action recognition method based on the human body 3D bone node. First of all, it uses Kinect and other devices to obtain the three-dimensional data of the human skeleton, and rebuilds the human coordinate system with the human hip as the origin. Then, it extracts the data of the human skeleton key, and defines the human action characteristic vector. At last, it uses the regular expression to express the human action trajectory, and makes the action sequence with the behavior tree to realize the recognition. The experimental results of 5 kinds of definitions show that the proposed method has high recognition rate and strong generalization.

Key words: action recognition, skeleton data, feature vector, behavior tree