Database for Emotion Recognition System Based on EEG Signals and Various Computer Games - GAMEEMO

This dataset includes computer games-based EEG signals. They are collected from 28 different subjects with wearable and portable EEG device called 14 channel Emotiv Epoc+. Subjects played emotionally 4 different computer games (boring, calm, horror and funny) for 5 minutes and totally 20 minutes long EEG data available for each subject. Subjects rated each computer game based on the scale of arousal and valence by applying SAM form. We provided both raw and preprocessed EEG data with .csv and. mat format in our data repository. Each subject's rating score and SAM form are also available. The aim of this dataset is to provide an alternative data for emotion recognition process and show the performance of wearable EEG devices against traditional ones. In the main folder (GAMEEMO) researches will find 29 different folders (28 for subjects and 1 for gameplay). S01, S02, ... represents the subjects who participated in the experiment. Gameplay folder shows the gameplay of each game. In each subjects folder, researchers will find preprocessed EEG data, raw EEG data csv and .mat format. Also SAM ratings are available with .pdf format. Games are represented as G1, G2, G3, and G4. G1 refers Game 1, G2 refers G2, and so on.

本数据集包含基于电脑游戏的脑电（Electroencephalogram, EEG）信号。数据采集自28名不同受试者，所用设备为14通道的可穿戴便携式脑电设备Emotiv Epoc+。受试者依次游玩4款具有不同情感属性的电脑游戏（乏味、平静、恐怖与搞笑类），单款游戏游玩时长为5分钟，每位受试者总计可获得20分钟的脑电数据。受试者需通过自我评估模型（Self-Assessment Manikin，简称SAM）量表，基于唤醒度（arousal）与效价（valence）两个维度对每款游戏进行评分。本数据集同时提供原始与预处理后的脑电数据，格式涵盖.csv与.mat，存储于数据仓库中；每位受试者的评分结果及SAM量表数据同样可获取。本数据集旨在为情感识别任务提供替代数据源，并验证可穿戴脑电设备相较于传统脑电设备的性能表现。在主文件夹GAMEEMO内，研究者可找到29个子文件夹：28个对应受试者数据，1个为游戏游玩记录文件夹。受试者文件夹以S01、S02……的格式命名，以此指代参与实验的受试者。游戏游玩记录文件夹包含各款游戏的相关游玩数据。在每个受试者文件夹中，研究者可获取预处理后的脑电数据、原始脑电数据的.csv与.mat格式文件，同时还有以.pdf格式存储的SAM评分数据。游戏分别以G1、G2、G3、G4指代，其中G1对应游戏1，G2对应游戏2，依此类推。

搜集汇总

背景与挑战

背景概述

GAMEEMO数据集是一个基于电脑游戏的EEG信号数据库，旨在支持情绪识别研究。数据集包含28名受试者在4种不同情绪游戏中的EEG数据，每种游戏5分钟，总计20分钟，数据格式包括原始和预处理后的EEG信号（.csv和.mat）以及SAM评分表。