Identifying Emotions for Virtual Reality Based on Eye Tracking and Cloud Computing

With the rapid development of virtual reality technology, immersive experiences have become the new generation’s sought-after entertainment feast. Nowadays, various industries have also started utilizing virtual reality for vocational training in fields such as education, healthcare, entertainment, and military. In virtual environments, users can interact socially with others through virtual avatars as their representatives. In this study, we aim to integrate virtual reality devices, eye-tracking devices, and public cloud computing services to infer emotions based on changes in eye data. We evaluate the average accuracy of the proposed model and hope to enhance the facial emotions of avatars to better align with users’ intentions. This study will contribute to improving the authenticity of social interaction and providing users with a better social experience in virtual reality environments.