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基于虛擬現(xiàn)實的不同情緒視頻下的腦電譜特性

EEG spectralcharacteristicsunder virtual reality based onemotional videos

作者: 李海寶  李穎潔  華旻磊  田豐  楊幫華  
單位:上海大學通信與信息工程平院(上海 200444) 上海先進信息與數(shù)據(jù)科學研究院(上海 200444) 上海大學錢偉長院&lt;上海 200444&gt; 上海大學上海電影學(上海 200002) 上海大學機電工程與自動化學院(上海 200444) <p>通訊作者:李穎潔 。E-mail: [email protected]</p> <p>豐田。E-mail: [email protected]</p> <p>&nbsp;</p>
關鍵詞: 情緒視頻;腦電;虛擬現(xiàn)實;負性偏向;區(qū)域效應  
分類號:R318.04 <p>&nbsp;</p>
出版年·卷·期(頁碼):2021·40·5(478-486)
摘要:

目的 研究不同情緒類型的虛擬現(xiàn)實(virtual reality, VR)視頻刺激下的腦電(electroencephalogram, EEG)特性,通過分析受試者觀看VR視頻時的EEG能量,探究不同情緒類型VR視頻對受試者神經(jīng)活動的影響。方法 首先制作3種情緒類型(正性、中性、負性)的VR視頻,招募30名健康受試者(男18人,女12人),讓他們觀看這些視頻,并完成情緒評價,同時采集他們觀看任務時的8通道EEG信號。然后對EEG信號做預處理,包括濾波、去除壞導聯(lián)及壞段、去除眼電成分、插值及重參考。對處理干凈的信號通過小波變換進行分頻,檢測θ、α、β頻帶的信號能量。結果 正性和中性刺激下在全腦范圍的各頻帶腦電能量都顯著高于負性刺激;無論何種情緒的VR視頻刺激,都表現(xiàn)出右半球的theta能量顯著大于左半球的偏側化現(xiàn)象,且額區(qū)和頂區(qū)的alpha能量都顯著高于顳區(qū)。結論 VR情緒視頻能有效誘發(fā)特定的情緒,且在VR情緒視頻刺激下,存在顯著的負性偏向,即負性VR刺激下表現(xiàn)出與正性和中性VR刺激不同的腦電譜特性,表明VR下負性情緒對大腦活動影響的特異性。

 

Objective The electroencephalogram (EEG) characteristics during virtual reality (VR) videos with different emotions were studied. We investigated the effects of emotional VR videos on the neural activities of subjects by analyzing the EEG power and their behavioral results. Methods Firstly, we designed three emotional types of VR videos (positive, neutral and negative) and recruited 30 healthy subjects (18 men and 12 women) who were required to watch these videos while their 8-channel scalp EEG signals were recorded simultaneously. Then the signal was preprocessed, including filtering, removing bad channels and bad trials, removing eye electrical components, interpolation and re-reference. Finally, theta, alpha and beta activities were detected by wavelet transform. Results EEG power under positive and neutral stimulation was significantly greater than that under negative stimulation in the whole brain regions regardless of theta, alpha and beta bands; no matter what types of simulation, the theta power in the right hemisphere was significantly greater than that in the left hemisphere, and the alpha power in the frontal and parietal regions was significant larger than that in the temporal region. Conclusions VR emotional videos could be used to elicit specific emotions; there was a significant negative bias under the stimulation of VR emotional videos and EEG spectral characteristics under negative stimulation were different from those under positive and neutral stimulation, which showed that the negative emotion has a specific effect on brain activities under VR.

 

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