关键词: 动作识别, 时间序列相似性, F-DTW算法, Kinect, 机器人

Abstract: Aiming at the problem of timeliness in human-computer interaction using human action based on Kinect, a rapid human action recognition method based on time series similarity is proposed. Three-dimensional coordinates of the key points extracted from 20 joints of human body obtained from the Kinect sensor are transformed into eigenvector and the eigenvector model?is a superb action descriptor. A Fast Dynamic Time Warping（F-DTW） algorithm is proposed to solve the speed problem of action recognition. Lower bound function and early termination technique is used to solve the time-lag problem so as to control the robot quickly. 20 kinds of actions are defined for recognition, the average recognition rate is greatly improved than traditional algorithm, verifying the validity of the method and meeting the requirements of the interaction with robot.

Key words: action recognition, time series similarity, Fast Dynamic Time Warping（F-DTW） algorithm, Kinect, robot