文章基本信息

标题：An Emotional Model based on Wavelet Coherence Analysis of EEG Recordings
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作者：Anas Fattouh
期刊名称：BVICAM's International Journal of Information Technology
印刷版ISSN：0973-5658
出版年度：2016
卷号：8
期号：2
语种：English
出版社：Bharati Vidyapeeth's Institute of Computer Applications and Management
摘要：Molding emotion from electroencephalography (EEG) recordings has been always a challenge to researchers. They have developed some models by analyzing the temporal and/or spectral properties of EEG recording. However, analyzing the temporal and spectral synchronization between two EEG recordings can provide information about the functional connectivity of the brain undetectable by the conventional methods. This paper presents a wavelet coherence analysis of EEG recordings acquired from healthy subjects while they are listening to verses from the Quran recited by different reciters. The results showed that the connectivity between some pairwise electrodes changes significantly with the emotion reported by the subjects. Therefore, they can be used as a model to estimate the emotion.
关键词：Index Terms – Auditory Stimuli;Brain Computer Interface (BCI);Electroencephalography (EEG);Emotion;Emotiv EPOC Neuroheadset;Functional Connectivity;Wavelet Coherence.