Research on Virtual Reality Dissemination Technology of Traditional Sports Culture of Ethnic Minorities in the Internet Era

Abstract

As the development of science and technology has changed the original production and life style of human beings, the inheritance and dissemination of traditional sports culture of ethnic minorities have encountered an unprecedented crisis. In this paper, on the basis of virtual reality dissemination technology, the acquisition and pre-processing of images are clarified, and BP-SIFT algorithm and overlapping region linear transition method are used respectively to realize image matching and fusion, and finally complete the construction of virtual scene. In order to enhance the interactivity of the virtual scene, a natural gesture interaction model based on FOB location information data is designed, and then the GCHS recommendation algorithm is used to construct a traditional sports culture communication model for ethnic minorities, and the model is empirically analyzed. When the number of neighbors is 45, the GCHS recommendation algorithm performs optimally, with precision rate between 0.85 and 0.96, recall rate between 0.86 and 0.95, and F1 value between 0.87 and 0.96, which proves the effectiveness of the GCHS recommendation algorithm in the dissemination of traditional sports culture of ethnic minorities. In addition, the GCHS recommendation algorithm is able to locate specific users and target the traditional sports culture dissemination of ethnic minorities.