基于维度模型的情感增强有用音乐识别

Rab Nawaz, H. Nisar, V. Yap
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引用次数: 5

摘要

人类的情感可以通过多种方式被唤起和识别。使用音乐刺激是唤起人类特定情感的一种简单做法。从生理(EEG)信号中提取的特征可以很容易地识别这些情绪。生理信号具有不偏不倚的性质,基于这些信号的结果是高度可信的,这就是为什么这些信号的使用在情感识别系统中取得了进步。本文概述了识别由音乐引起的情绪变化的程序。25名受试者参与了这项研究。这项研究使用了两种类型的音乐,喜欢的音乐和放松的音乐。最喜欢的音乐是由参与者根据自己的选择选择,因此它属于七种不同的音乐流派。放松的音乐是由阿尔法双耳节拍组成的。收集所有受试者在听音乐前、听自己喜欢的音乐后和听放松音乐后的脑电图数据。对数据进行预处理以去除工件。从干净的脑电图信号中提取α和β波段。选择基于唤醒和效价的二维模型来识别情绪状态的变化。两种音乐引起的情绪变化是用唤醒值和效价值来测量的。这些变化与他们的基线情绪水平(听音乐前的情绪水平)进行比较。结果表明,听了这两种音乐后,唤醒水平和效价水平都有所提高。因此,这可能意味着听音乐有助于将情绪转变为积极的状态。喜欢的音乐和放松的音乐分别使唤醒水平提高0.8%和30%。而在听了喜欢的音乐和放松的音乐后,效价分别增加了90%和177%。与喜欢的音乐相比,放松音乐产生的唤醒和效价水平更有助于唤起积极情绪。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Recognition of Useful Music for Emotion Enhancement Based on Dimensional Model
Human emotions can be evoked and recognized in many ways. The use of music stimuli is one of the simple practices to evoke particular emotions in human beings. Features extracted from physiological (EEG) signals can be used to easily recognize these emotions. The physiological signals have an unbiased nature and the results based on these signals are highly trusted, that is why the use of these signals has made advancements in the emotion recognition systems. This paper presents an overview of the procedure to identify the changes in emotions evoked by music. 25 subjects participated in the study. The study is conducted using two types of music, preferred music and relaxing music. The preferred music is selected by the participants according to their choice and hence it belongs to seven different genres of the music. Relaxing music is composed of alpha binaural beats. EEG data is collected from all the subjects before listening to music, after listening to their preferred music, and relaxing music. The data is preprocessed for artifact removal. Alpha and beta bands are extracted from the clean EEG signals. Two dimensional model based on arousal and valence is selected to recognize the changes in the emotional state. The changes in emotions, induced by both music, are measured using the arousal and valence values. These changes are compared with their baseline emotion level (the emotion level before listening to music). The results show that the level of arousal and valence increased after listening to both music. Hence it may imply that listening to music is helpful in shifting the emotions into positive state. Preferred music and relaxing music increased the arousal level by 0.8% and 30% respectively. Whereas, the increase in valence was 90% and 177% after listening to preferred music and relaxing music respectively. The arousal and valence level produced by relaxing music, was more helpful in evoking positive emotions as compared to the preferred music.
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