Research on key points recognition and interaction of 3D VR human body

With the rapid development of science, VR technology has become more mature and perfect, and has been widely used in various fields. Include human motion scanning, so as to improve the efficiency of human key point identification and interaction. Based on this, this paper designs an interactive and key point recognition scheme of human dynamic gestures by means of theoretical analysis and experimental analysis. Through experimental verification, it can be found that the gesture recognition rate of this scheme is high, with an average of 93.5% and high accuracy, and it can be popularized in practice.