Design of Networked Human–Computer Interaction Interface Based on VR Technology

To further solve the problem that gesture recognition in human–computer interaction system under virtual reality technology cannot well-adapt to real-time and continuous gestures in practical application environment. With the help of Naive Bayesian gesture recognition algorithm, eigenvector calculation method and human–computer interaction method based on collision detection, this paper takes the museum virtual human–computer interaction system as the research object and proposes a museum human–computer interaction system based on virtual reality. This paper further improves the real-time service of human–computer interaction system through the optimization of basic information management module, voice interaction module, face recognition module and navigation path planning module. The research results found that the average response time of the human–computer interaction system designed in this article is less than 0.89 s, the average response time of facial recognition is less than 0.5 s and the path planning completion time is less than 1.2 s. The system has good real-time performance and good interface interaction experience, which can meet daily use.