AI driven human–computer interaction design framework of virtual environment based on comprehensive semantic data analysis with feature extraction

The most basic and important attributes of virtual reality (VR) are immersion, interactivity and creativity. For this young media, the continuous development and change and the exploration of content are the current situation of VR art. The arrival of 5G communication technology provides an important foundation for the popularization of VR technology. The rapid development of technology and hardware rewrites and expands the possibility of VR art design expression at any time. As the latest technology of natural human–computer interaction, somatosensory interaction technology enables users to interact with computers directly through body movements, gestures, etc., and control the environment at will. Its core value lies in that it not only enables the computer to have more accurate and effective “eyes” to observe the world, not only to understand human body language, but also to complete various instructions according to the body language, to achieve real-time interaction with people. Gesture, as a common communication mode with the ability of information expression, has the advantages of intuitionistic, natural and easy to understand. Therefore, the somatosensory interaction technology based on gesture recognition has become an effective means of natural human–computer interaction. With the rapid development of key technologies of VR, VR has been widely used in games, fitness, real estate, education, film and television and other industries. In recent years, VR systems are everywhere, including virtual home decoration system, virtual panoramic VR live broadcasting system, virtual fitness system, etc. The design and implementation of this VR system mainly includes four parts: scene modeling, rendering and rendering, performance and interaction, and network application. Based on this, this paper uses the comprehensive data analysis technology to build the human–computer interaction design model in the virtual environment. The AI and speech information are combined to perform the optimal analysis.