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立體深度運動引發的立體視覺疲勞的腦電評估

Using EEG for assessment of stereoscopic visual fatigue caused by motion-in-depth

  • 摘要: 3D技術的發展受到其引發的不舒適感的限制,長時間觀看立體顯示影像將會引起立體視覺疲勞,一種客觀評價立體視覺疲勞的有效指標亟待提出.本文利用EEG (electroencephalography)三個頻帶θ(4~8 Hz)、α(8~13 Hz)、β(13~22Hz)的相對能量及其能量比值E(α+θ)/β、Eα/βE(α+θ)/(α+β)在八個不同腦區及整個腦區的54個指標作為備選,借助配對t檢驗、灰色關聯度分析(GRA)、支持向量機(SVM),最后得出指示由立體深度運動引發的視覺疲勞的最佳腦電指標為:頂區Eα/β.并比較了三個頻帶相對能量在不同疲勞狀態的變化:疲勞狀態下,α頻帶明顯上升(p < 0.01),β頻帶明顯下降(p < 0.01),θ頻帶保持穩定.

     

    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)/βEα/βE(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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