monster-monash/DREAMERA
收藏Hugging Face2025-04-14 更新2025-04-26 收录
下载链接：
https://hf-mirror.com/datasets/monster-monash/DREAMERA
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资源简介：
DreamerA是一个包含170,246个多变量时间序列的EEG信号数据集，每个时间序列长度为256，采样率为128Hz。该数据集用于情感识别，特别是通过音频视觉刺激引发的唤醒度和效价状态的分类。数据集基于23位参与者的记录，并使用了14通道Emotiv EPOC头戴式设备。标签是二分类的，根据唤醒度和效价评分进行分类。
DreamerA is an EEG signal dataset containing 170,246 multivariate time series, each of length 256, with a sampling rate of 128Hz. The dataset is used for emotion recognition, specifically for classifying arousal and valence states induced by audio-visual stimuli. It is based on records from 23 participants using a 14-channel Emotiv EPOC headset. The labels are binarized based on arousal and valence ratings.
提供机构：
monster-monash
