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SACA Net: Cybersickness Assessment of Individual Viewers for VR Content via Graph-based Symptom Relation Embedding
In this paper, we propose a novel symptom-aware cybersickness assessment network (SACA Net) that quantifies physical symptom levels for assessing cybersickness of individual viewers.
Visual Comfort Aware-Reinforcement Learning for Depth Adjustment of Stereoscopic 3D Images
For a human expert, the depth adjustment procedure is a sequence of iterative decision making.
Towards a Better Understanding of VR Sickness: Physical Symptom Prediction for VR Contents
To make better understanding of VR sickness, it is required to predict and provide the level of major symptoms of VR sickness rather than overall degree of VR sickness.
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