在观看三维图像时,通过感应眼球运动来评估视觉疲劳

T. Inoue, Y. Kato, J. Ozawa
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引用次数: 3

摘要

在这项研究中,我们讨论了可以用来量化用户观看三维(3D)视觉内容时视觉疲劳的指标。我们讨论了两个指标,它们的值可以通过生物信号处理来计算,而不会干扰3D内容的观看。一个是视频眼图(VOG)指数,另一个是电眼图(EOG)指数。为了明确这些指标的有效性,我们进行了简单的实验。我们的研究结果证实了这些生物学指标与用户视觉疲劳之间的关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluating visual fatigue by sensing eye movement during viewing of 3D images
In this study, we discuss indexes that can be used to quantify users' visual fatigue when they watch three-dimensional (3D) visual contents with consumer displays. We discuss two indexes with values that can be calculated by biological signal processing without disturbing the viewing of 3D contents. One is a video-oculography (VOG) index, and the other is an electro-oculography (EOG) index. To clarify the effectiveness of these indexes, we conducted simple experiments. Our results confirmed the relationship between these biological indexes and the users' visual fatigue.
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