ECSMP: A Dataset on Emotion, Cognition, Sleep, and Multi-model Physiological Signals
收藏Mendeley Data2024-05-26 更新2024-06-26 收录
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This paper described the collection of multi-modal physiological signals, which include electroencephalography, electrocardiograph (ECG), photoplethysmography, electrodermal activity, temperature, and accelerometer data, recorded from 89 healthy college students during resting state, the emotion induction and recovery, and a set of cognitive function assessment tasks. Emotion, sleep, cognition, depression, mood, and other factors were evaluated through different methods, and were included in this dataset. Six emotions (neutral, fear, sad, happy, anger, and disgust) were induced by movie clips. The cognitive functions such as sustained attention, response inhibition, working memory, and strategy use, were quantitatively measured by Cambridge neuropsychological test automatic battery. The sleep ECG was collected the night before the emotion-induction experiment, and the sleep quality was analysed based on the sleep ECG. After the experiment, the participants were required to fill in questionnaires to evaluate the emotion regulation strategies, depression score, recent mood, and sleep quality index. The database can not only be directly used for the research of emotion recognition on multi-modal physiological signals, but also can further explore the interactions between emotion, cognition, and sleep.
本论文详述了一套多模态生理信号数据集的采集方案:该数据集采集了89名健康大学生在静息状态、情绪诱发与恢复阶段,以及一系列认知功能评估任务中产生的多模态生理信号,包括脑电图(electroencephalography)、心电图(electrocardiograph, ECG)、光电容积描记法(photoplethysmography)、皮肤电活动(electrodermal activity)、体温及加速度计数据。本数据集纳入了通过多种方法评估得到的情绪、睡眠、认知、抑郁、心境等多维度指标。其中,六种基础情绪(中性、恐惧、悲伤、快乐、愤怒、厌恶)通过电影片段进行诱发;持续性注意、反应抑制、工作记忆及策略运用等认知功能,通过剑桥自动神经心理测试成套测验(Cambridge Neuropsychological Test Automated Battery)进行定量测评。研究人员在情绪诱发实验前一晚采集了受试者的睡眠心电信号,并基于该数据对睡眠质量进行分析。实验结束后,要求受试者填写问卷以评估其情绪调节策略、抑郁得分、近期心境及睡眠质量指数。该数据集不仅可直接应用于多模态生理信号情绪识别相关研究,还可用于进一步探索情绪、认知与睡眠三者间的交互机制。
创建时间:
2024-01-23
搜集汇总
数据集介绍

背景与挑战
背景概述
ECSMP数据集是一个包含89名健康大学生多模态生理信号的综合性数据库,涵盖情绪诱导、认知功能评估和睡眠质量分析。该数据集不仅可用于多模态生理信号的情绪识别研究,还能探索情绪、认知与睡眠之间的相互作用。
以上内容由遇见数据集搜集并总结生成



