Investigating the neural activity of various 3D visual fatigue degrees using depth‐related visual evoked potentials,Journal of the Society for Information Display

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Investigating the neural activity of various 3D visual fatigue degrees using depth‐related visual evoked potentials
Journal of the Society for Information Display ( IF 1.7 ) Pub Date : 2020-11-26 , DOI: 10.1002/jsid.977
Kang Yue _{1,

2,

3} , Danli Wang _{1,

2}

Affiliation

Severe visual fatigue symptoms occur while users view three‐dimensional (3D) content. These symptoms adversely affect the user experience and hinder the widespread application of 3D media. Existing studies mainly used electroencephalography (EEG) power (based on frequency domain analysis) to evaluate 3D visual fatigue (3DVF), but their results were often contradictory and confusing. To address this problem, we investigated the relationship between EEG features and visual fatigue from the perspective of both time and time‐frequency domain. Random‐dot stereograms (RDS) with various disparities were employed to elicit depth‐related visual evoked potentials (VEPs). The experiment lasted about 27 min for each subject to induce fatigue, and the EEG was recorded synchronously. VEPs of different fatigue levels were processed to extract both time (such as P₁₂₀ and N₁₇₀ components in VEPs) and time‐frequency (like event‐related spectral perturbation [ERSP]) domain characteristics. A significant increase in P₁₂₀ amplitude was observed in the parietal region, and time‐frequency analysis also revealed a significant ERSP decrease of theta bands in the central‐frontal region with a latency of 200 to 300 ms when subjects suffered fatigue. Our results confirm the hypothesis that activity of theta decreased with 3DVF level, or rather, we found ERSPs of theta bands on FC4 and Cz in the 200‐ to 300‐ms window decreased significantly across four fatigue levels. Furthermore, we first reported the relationship between P₁₂₀ amplitude and 3DVF, which implied this feature could be considered as a feature of 3DVF evaluation. In summary, our studies could provide a new insight for 3DVF evaluation using EEG.

中文翻译：

使用与深度相关的视觉诱发电位研究各种3D视觉疲劳程度的神经活动

用户查看三维（3D）内容时，会出现严重的视觉疲劳症状。这些症状会对用户体验产生不利影响，并阻碍3D媒体的广泛应用。现有研究主要使用脑电图（EEG）功率（基于频域分析）来评估3D视觉疲劳（3DVF），但其结果通常相互矛盾且令人困惑。为了解决这个问题，我们从时域和时频域的角度研究了脑电图特征与视觉疲劳之间的关系。采用具有各种差异的随机点立体图（RDS）来引发与深度相关的视觉诱发电位（VEP）。每个实验持续约27分钟以诱发疲劳，并同步记录EEG。对不同疲劳程度的VEP进行处理以提取两次时间（例如VEP中的P ₁₂₀和N ₁₇₀分量）和时频（如事件相关的频谱扰动[ERSP]）域特征。在顶叶区域观察到P ₁₂₀振幅显着增加，时频分析还显示，当受试者疲劳时，中央额叶区域θ带的ERSP显着降低，潜伏期为200至300 ms。我们的结果证实了theta的活性随3DVF水平降低的假设，或者更确切地说，我们发现200-300 ms窗口中FC4和Cz上theta谱带的ERSP在四种疲劳水平下均显着降低。此外，我们首先报告了P ₁₂₀之间的关系振幅和3DVF（暗示此功能）可以视为3DVF评估的功能。总之，我们的研究可以为使用脑电图进行3DVF评估提供新的见识。

更新日期：2020-11-26

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