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[134790] Artykuł: Advanced Motion Prediction for Virtual Reality Gaming: a CNN-Based Approach(Zaawansowane przewidywanie ruchu w grach wirtualnej rzeczywistości: podejście oparte na CNN)Czasopismo: 34th International Conference on Artificial Reality and Telexistence & the 29th Eurographics Symposium on Virtual Environments Opublikowano: Grudzień 2024 Autorzy / Redaktorzy / Twórcy Grupa MNiSW: Konferencja Informatyczna Punkty MNiSW: 0 ![]() ![]() Keywords: virtual reality  neural networks  sensor devices and platforms  |
A novel motion prediction model (MPM) for virtual reality (VR) video games was developed, consisting of a motion recognition model (MRM) and a next movement prediction model (NMPM), both using convolutional neural networks (CNNs). Motion capture was performed with HTC Vive Pro and Meta Quest 2. Two custom datasets were created to train the MRM and NMPM. Our method achieved a top-1 accuracy of 77% and a top-2 accuracy of 90%, even with motion data sequences sharing similar initial stages but diverging in subsequent movements.