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向360 VR疾病缓解:从虚拟现实眼睛跟踪到视觉通信

Jeonghaeng Lee, Woojae Kim, Chao Yang

IEEE transactions on visualization and computer graphics

|August 22, 2024

概括

这项研究引入了一种新的框架,通过基于用户眼睛跟踪数据,限制外围视觉中的高频纹理来减少虚拟现实 (VR) 疾病. 化过方法有效地减轻了大约19%的VR疾病.

科学领域:

虚拟现实 (VR) 和人机交互
视觉感知与神经科学视觉感知与神经科学

背景情况:

虚拟现实 (VR) 内容开发经常忽视VR疾病,这是一个影响用户安全和采用的关键问题.
现有的VR系统缺乏有效的方法来缓解VR疾病,阻碍沉浸式体验.

研究的目的:

研究一种利用人类视觉特征的新型VR疾病缓解框架.
开发和验证一项针对减少360度VR内容中的VR疾病的FOVEED过方法.

主要方法:

创建一个大规模的360 VR内容数据库 (VRSP360) 用于VR疾病分析.
进行眼睛跟踪实验,以了解用户在VR疾病期间的凝视模式.
设计一个状过框架,以限制外围的高频纹理.

主要成果:

在经历高VR疾病的用户中观察到偏向中心的目光分布.
通过减少外围视觉信息,证明形过有效地减轻VR疾病.
开发了指标 (视觉纹理指数,感知信息指数) 来评估信息保存.

结论:

拟议的合过框架成功地减少了约19%的VR疾病.
该方法平衡了减少疾病的情况,并保持了感知质量,这对于用户的存在至关重要.
这个框架为更安全,更舒适的VR体验提供了一个有希望的解决方案.

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