Abstract
AbstractIn the process of continuous development, robot technology has been widely used in aerospace, medical, education, and service industries, and the relationship between robots and people is getting closer and closer. The improvement of robot intelligence is a process of continuous learning of external knowledge. Since the introduction of human-computer interaction technology, it has provided more and more technical support for human research robots. This paper firstly takes Tai Chi as an example, analyzes and deconstructs its standard Tai Chi putter movements, and obtains the corresponding movement parameter information. Then, the human body depth image and bone structure are obtained through the kinect sensor, and the human joint position data is recorded, and then the coordinate data is sent to the brain robot, thereby realizing the imitation learning of the robot’s push movements in Tai Chi. The experimental results show that the proposed method can simulate the practice process of inversion of Tai Chi, can well analyze the shortcomings in the practice process, and can then promote the development of the sport.
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Computer Science Applications,Signal Processing
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