matlab辗转相除代码-Human-Emotion-Analysis-using-EEG-from-DEAP-dataset:基于1）PSD
matlab投射转相除代码使用来自DEAP数据集的EEG进行人类情感分析
根据以下内容处理DEAP数据集
PSD（功率谱密度）和2）DWT（离散小波变换）功能。
根据Arousal和Valence（高/低）对EEG等级进行分类
在此处找到DEAP数据集：（您需要通过向授权人员发送邮件来下载以寻求许可）
可以使用matlab文件处理来自EEG的数据。
（适用于matlab版本的EEG数据集）将matlab文件直接保存在DEAP数据集文件夹中，数据位于该文件夹中。
运行process.m以获取功率谱密度文本文件
生成的每个testFile包含4个特征-alpha，beta，delta和theta波功率谱密度比（通过总psd归一化），分别表示价，唤醒和组合（价+声）的输出。
1->低，2->高
您可以在此处阅读有关脑电波的信息（概述）：
您可以在此处查看唤醒和价态及其含义的图表：
使用psd功能和KNN
/
SVM可能不会获得很好的准确性，因为它们主要只是人类头脑存在的一种度量。
DWT分析可帮助我们获得基于频率的psd之外的基于时间的功能。
运行dwt_feature_extraction
文件下载
资源详情
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