A VR User Behavior Classification Method Integrating Scene Information and Operation Information
نویسندگان
چکیده
With the rapid growth of virtual reality industry, number users participating in has rapidly increased, and analyzing user behavior scenarios become increasingly important. Compared with general time series classification tasks, input sources are more complex diverse, traditional models difficult to handle this complexity. This article designs a methods for classifying VR conducts experiments. Apply video motion recognition based on scene data. Due ability obtain image data from both videos scenes, uses method action process On basis, fusion were designed fuse operational information VR. Experiments have shown that these can effectively problems scenes.
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ژورنال
عنوان ژورنال: Academic journal of computing & information science
سال: 2023
ISSN: ['2616-5775']
DOI: https://doi.org/10.25236/ajcis.2023.060607