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Development of Emotional Decision-Making Model Using EEG Signals

机译：Development of Emotional Decision-Making Model Using EEG Signals

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In this paper, an attempt has been made to explore the effect of incidental emotion on decision making. For this, first of all, a conventional emotion classification system based on electroencephalogram (EEG) signal is implemented. This emotion classification system ensures the generation and presence of four basic emotions, happy, relaxing, sad and angry by stimulations. audio-visual stimulations are used to generate specific emotions. The novelty of this work is in analysis of pre- and post-decisions taken with respect to stimulation provided. For this, answers of same question were taken before and after the induced emotions by stimulation. After observation and analysis, maximum (46.67%) percentage of change in decision has been noticed during angry emotion.
机译：本文试图探讨偶然情绪对决策的影响。为此，首先，实现了一个基于脑电图（EEG）信号的传统情绪分类系统。这种情绪分类系统通过刺激确保四种基本情绪的产生和存在：快乐、放松、悲伤和愤怒。视听刺激用于产生特定的情绪。这项工作的新颖之处在于分析了针对所提供刺激做出的前后决定。为此，在刺激诱发情绪之前和之后，对同一问题进行了回答。经过观察和分析，在愤怒情绪期间，注意到决策改变的最大百分比（46.67%）。

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