CHEN Yihui 5 years ago
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DEAP/.ipynb_checkpoints/kmeans-checkpoint.ipynb


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DEAP/EEG_feature.txt


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DEAP/README.txt

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+DEAP 数据库
+
+EEG_feature.txt 包含了1216个脑电信号样本的160维特征,每行为一个样本,每列为一种特征。特征从左至右分别是每个脑电电极的theta(1-32列)、slow alpha(33-64列)、alpha(65-96列)、beta(1-97128列)、gamma(129-160列)波段的脑电特征。
+
+subject_video.txt 包含了1216个脑电信号对应的32名被试和38段视频信息,其中包含两列。第一列是对应的被试编号,第二列是对应的视频编号。
+
+EEG_feature.txt 与 subject_video.txt和valence_arousal_label.txt中每行都是一一对应的,例如subject_video.txt的第二行就是EEG_feature.txt中第二个样本(第二行)的被试和视频信息;valence_arousal_label.txt的第二行也是EEG_feature.txt中第二个样本(第二行)的愉悦度和唤醒度标签。valence_arousal_label.txt中第一列为愉悦度标签,1代表positive,2代表negative;第二列为唤醒度标签,1代表high,2代表low。
+
+DEAP数据库并未提供情感类别标签。

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DEAP/kmeans.ipynb


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+ 0 - 0
MAHNOB-HCI/EEG_feature.txt


+ 19 - 0
MAHNOB-HCI/README.txt

@@ -0,0 +1,19 @@
+MAHNOB-HCI数据库
+
+EEG_feature.txt 包含了533个脑电信号样本的160维特征,每行为一个样本,每列为一种特征。特征从左至右分别是每个脑电电极的theta(1-32列)、slow alpha(33-64列)、alpha(65-96列)、beta(1-97128列)、gamma(129-160列)波段的脑电特征。
+
+subject_video.txt 包含了533个脑电信号对应的27名被试和20段视频信息,其中包含两列。第一列是对应的被试编号,第二列是对应的视频编号。
+
+EEG_feature.txt 与 subject_video.txt和valence_arousal_label.txt中每行都是一一对应的,例如subject_video.txt的第二行就是EEG_feature.txt中第二个样本(第二行)的被试和视频信息;valence_arousal_label.txt的第二行也是EEG_feature.txt中第二个样本(第二行)的愉悦度和唤醒度标签。valence_arousal_label.txt中第一列为愉悦度标签,1代表positive,2代表negative;第二列为唤醒度标签,1代表high,2代表low。
+
+
+EEG_emotion_category.txt为每个EEG样本的情感标签,与EEG_feature.txt也是一一对应的,其中数值与情感的对应关系如下:
+0	neutral
+1	anger
+2	disgust
+3	fear
+4	joy and happyness
+5	sadness
+6	surprise
+11	amusement
+12	anxiety

File diff suppressed because it is too large
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MAHNOB-HCI/kmeans.ipynb


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MAHNOB-HCI/subject_video.txt

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MAHNOB-HCI/valence_arousal_label.txt

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+1	2
+1	2

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