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A Deep Learning based Framework for Detecting and Reducing onset of Cybersickness

Cybersickness is one of the notable discomforts associated with virtual reality(VR) applications. With the recent advancement of machine learning, we can train deep neural networks to detect cyber-sickness severity from the physiological and VR-image data. Prior researches found a correlation between physiological and VR-image data with cybersickness. In this study, I hypothesize to detect the onset severity of cybersickness. Finally, based on the severity level, automatically apply different cybersickness reduction techniques in real-time.