Research on robot dance posture imitation system based on human key point recognition
With the continuous progress of robot technology,it has shown important research value to make it imitate human dance movements.This research is devoted to developing a robot dance posture imitation system based on human key point recogni-tion.The research adopts the method based on neural network.Firstly,the two-dimensional key point recognition model is construc-ted,and then the regression model is used to infer the three-dimensional coordinates from the two-dimensional coordinates,and the inverse kinematics technology is combined to transform the action instructions of the robot.The accuracy of head,shoulder,elbow and hip joints was 95.8％,94.5％,87.39％and 87.3％,respectively.In the three-dimensional coordinate prediction,the average deviation is 43.91mm.Although this error remains a challenge in some areas,its practical impact is relatively small due to the small size of the robot.The results show that the proposed method has good effect and application potential in robot dance imitation.
human bodykey pointsrobotsdancing posturerecognize
万方数据
维普
