Title: A Deep Learning based Framework for Detecting and Reducing onset of Cybersickness
Title: A Deep Learning based Framework for Detecting and Reducing onset of Cybersickness
Abstract:
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.
Published at: 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR)
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Cite This = @INPROCEEDINGS{9090494, author={R. {Islam}}, booktitle={2020 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)}, title={A Deep Learning based Framework for Detecting and Reducing onset of Cybersickness}, year={2020}, volume={}, number={}, pages={559-560}, doi={10.1109/VRW50115.2020.00131}}