Research on the Creative Performance of Digital Film and Television Works Based on Virtual Reality Technology

• DOI: 10.2478/amns-2024-0633
• Publication Date: 2024-02-29T16:51:12Z
• Authors: Jicheng Zhang; Yi Feng
• Keywords: Feature (linguistics)

Abstract This study investigates the application of virtual reality technology in creative expression digital film and television productions, especially role EEG signal denoising feature recognition methods enhancing audience experience. The uses wavelet threshold parallel RLS adaptive filtering algorithms to process signals improve accuracy reliability data. Then, were extracted using a bihemispheric domain adversarial neural network (BiDANN) more accurately recognize user’s emotional responses. experimental results show that environment, users’ concentration reactions are significantly improved, with average reaching 74.21 value electrodermal test data being 6.19. In addition, eye-movement interaction experiments different types movie works can cause additional attention allocation users VR leading other performance effects. study’s prove enhance innovative audience’s viewing