This paper illustrates the wavelet-based feature extraction for emotion assessment using electroencephalogram (EEG) signal through graphical coding design. Two-dimensional (valence-arousal) emotion model was studied. Different emotions (happy, joy, melancholy, and disgust) were studied for assessment. These emotions were stimulated by video clips. EEG signals obtained from four subjects were decomposed into five frequency bands (gamma, beta, alpha, theta, and delta) using "db5" wavelet function. Relative features were calculated to obtain further information. Impact of the emotions according to valence value was observed to be optimal on power spectral density of gamma band. The main objective of this work is not only to investigate the influence of the emotions on different frequency bands but also to overcome the difficulties in the text-based program. This work offers an alternative approach for emotion evaluation through EEG processing. There are a number of methods for emotion recognition such as wavelet transform-based, Fourier transform-based, and Hilbert-Huang transform-based methods. However, the majority of these methods have been applied with the text-based programming languages. In this study, we proposed and implemented an experimental feature extraction with graphics-based language, which provides great convenience in bioelectrical signal processing.

中文翻译：

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基于小波的LabVIEW对脑电信号情绪化合价模型的研究。

本文阐述了基于小波的脑电图（EEG）信号情感提取特征提取，并通过图形编码设计。研究了二维（价声）情感模型。研究了不同的情绪（快乐，喜悦，忧郁和厌恶）进行评估。视频剪辑刺激了这些情绪。使用“ db5”小波函数，将从四个对象获得的EEG信号分解为五个频带（伽玛，贝塔，阿尔法，θ和德尔塔）。计算了相对特征以获得进一步的信息。观察到情绪根据化合价的影响对伽玛谱带的功率谱密度是最佳的。这项工作的主要目的不仅是研究情绪对不同频段的影响，而且还要克服基于文本的程序中的困难。这项工作为通过EEG处理进行情绪评估提供了另一种方法。有许多用于情感识别的方法，例如基于小波变换，基于傅立叶变换和基于Hilbert-Huang变换的方法。但是，这些方法中的大多数已与基于文本的编程语言一起应用。在这项研究中，我们提出并实现了基于图形语言的实验特征提取，这为生物电信号处理提供了极大的便利。有许多用于情感识别的方法，例如基于小波变换，基于傅立叶变换和基于Hilbert-Huang变换的方法。但是，这些方法中的大多数已与基于文本的编程语言一起应用。在这项研究中，我们提出并实现了基于图形语言的实验特征提取，这为生物电信号处理提供了极大的便利。有许多用于情感识别的方法，例如基于小波变换，基于傅立叶变换和基于Hilbert-Huang变换的方法。但是，这些方法中的大多数已与基于文本的编程语言一起应用。在这项研究中，我们提出并实现了基于图形语言的实验特征提取，这为生物电信号处理提供了极大的便利。