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Quantification and categorization of emotion using cross cultural music: An EEG based fractal study

机译:跨文化音乐对情感的量化和分类:基于脑电图的分形研究

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In this work we have tried to quantify and categorize the emotional appraisal of 8 cross-cultural instrumental clips with the help of neurocognitive physics approach. Human response data is taken for 70 respondents from which the emotional appraisal for a particular musical clip is standardized. EEG is taken for 5 normal patients and response for different frequency bands (alpha, theta, gamma) of the EEG spectrum is analyzed using Detrended Fluctuation Analysis (DFA). The DFA scaling exponent is calculated for all the 3 different frequency bands of EEG signals under the effect of different emotional music clips in the frontal, temporal and occipital lobes. We have tried to develop DFA scaling exponent as a single parameter with which we can characterize and quantify emotional arousal corresponding to different emotional clips and corroborate the findings from human response study Outcomes are discussed in details in the paper.
机译:在这项工作中,我们尝试借助神经认知物理学方法对8种跨文化工具片段的情感评价进行量化和分类。收集了70位受访者的人类反应数据,从中可以标准化对特定音乐片段的情感评估。对5名正常患者进行脑电图检查,并使用去趋势波动分析(DFA)分析对脑电图谱不同频段(α,θ,伽马)的响应。在额叶,颞叶和枕叶的不同情感音乐片段的作用下,针对脑电信号的所有3个不同频段计算DFA缩放指数。我们试图将DFA缩放指数作为单个参数进行开发,通过它我们可以表征和量化与不同情绪片段相对应的情绪唤醒,并证实人类反应研究的发现。本文详细讨论了结果。

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