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立体深度运动引发的立体视觉疲劳的脑电评估
作者姓名:沈丽丽  孙伟鹏
作者单位:天津大学电气自动化与信息工程学院, 天津 300072
基金项目:国家自然科学基金资助项目(61302123,61520106002,61471262)
摘    要:3D技术的发展受到其引发的不舒适感的限制,长时间观看立体显示影像将会引起立体视觉疲劳,一种客观评价立体视觉疲劳的有效指标亟待提出.本文利用EEG (electroencephalography)三个频带θ(4~8 Hz)、α(8~13 Hz)、β(13~22Hz)的相对能量及其能量比值E(α+θ)/β、Eα/β、E(α+θ)/(α+β)在八个不同脑区及整个脑区的54个指标作为备选,借助配对t检验、灰色关联度分析(GRA)、支持向量机(SVM),最后得出指示由立体深度运动引发的视觉疲劳的最佳脑电指标为:顶区Eα/β.并比较了三个频带相对能量在不同疲劳状态的变化:疲劳状态下,α频带明显上升(p < 0.01),β频带明显下降(p < 0.01),θ频带保持稳定. 

关 键 词:视觉疲劳    脑电    立体显示    客观评价
收稿时间:2016-11-09

Using EEG for assessment of stereoscopic visual fatigue caused by motion-in-depth
Affiliation:School of Electronic Automation and Information Engineering, Tianjin University, Tianjin 300072, China
Abstract:Stereoscopic visual fatigue occurs after an individual watches a 3D display for a long period of time, which limits its development. As such, it is necessary to undertake an effective and objective evaluation of stereoscopic visual fatigue. The relative power of three electroencephalography (EEG) wavebands, namely θ (4-8 Hz), α (8-13 Hz), and β (13-22 Hz) and three algorithms, E(α+θ)/β、Eα/β、E(α+θ)/(α+β) were elicited in eight EEG channel regions and in all the channels, respectively. The results show there to be 54 possible EEG indicators available for identifying the optimal indicator for assessing stereoscopic visual fatigue. Lastly, based on the results of a paired-samples t-test, grey relational analysis (GRA), and a support vector machine (SVM), the algorithms parietal Eα/β is proved to be the best indicator. In addition, θ activity remains stable over time, whereas α activity increases significantly (p < 0.01) and β activity decreases significantly (p < 0.01) when in a fatigue status. 
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