Loughborough University Multimodal Emotion Dataset - 2

Loughborough University Multimodal Emotion Database-2 (LUMED-2) is a new multimodal emotion dataset that was created by the researchers of Loughborough University, UK, and Hacettepe University, Turkey, by collecting simultaneous multimodal data from 13 participants (6 females and 7 males) by showing audio-visual stimuli. The total duration of all stimuli is 8 minutes and 50 seconds, which consist of short video clips selected from the web to elicit specific emotions. Between each video clip, in order to let the participants have a rest, a 20-second grey screen was showed. Although it is anticipated that each video clip elicits a distinct emotional state and thus can determine the label of the resulting emotion, in reality the same content might trigger differing emotions for different participants. Therefore, after each session, the participants were additionally asked to label the clips with the felt emotional state while watching them. Three different emotions were resulted from labelling: "sad", "neutral" and "happy". The facial expressions of the participants were captured using a webcam at a resolution of 640x480 and at 30 fps. Participants’ EEG data was captured using an ENOBIO 8-channels wireless EEG device, which has a temporal resolution of 500 Hz. We filtered EEG data for the frequency range [0, 75Hz] and applied baseline subtraction for each window. As for the peripheral physiological data, an EMPATICA E4 Wristband, powered by Bluetooth, was used to record participants’ GSR.<br>This multimodal emotion database is strictly for research only and shouldn't be used for any other purposes that generates commercial interest. This database should not be published in part or in full elsewhere, but any research outcomes based on the analysis of this database can be published in research outlets. <br>For any questions related to the data contained in this database, contact Dr Yucel Cimtay ([e-mail])

拉夫堡大学多模态情感数据库2（Loughborough University Multimodal Emotion Database-2, LUMED-2）是由英国拉夫堡大学与土耳其哈塞特佩大学的研究者联合构建的新型多模态情感数据集。该数据集通过向13名参与者（6名女性、7名男性）呈现视听刺激材料，同步采集其多模态数据。所有刺激材料总时长为8分50秒，均为从网络遴选的短视频片段，用于诱发特定情感。每段视频片段之间会呈现20秒的灰色屏幕，以供参与者休息。尽管预设每段视频可诱发明确的情感状态并据此标注情感标签，但实际中同一内容可能引发不同参与者产生各异的情感体验。因此在每轮实验结束后，研究者会额外要求参与者按照自身观看视频时实际感受到的情感状态对片段进行标注。最终通过标注得到三类情感类别：悲伤（"sad"）、中性（"neutral"）与快乐（"happy"）。参与者的面部表情通过网络摄像头采集，分辨率为640×480，帧率为30 fps。参与者的脑电（Electroencephalogram, EEG）数据通过ENOBIO 8通道无线脑电设备采集，该设备的时间分辨率为500 Hz。我们对脑电数据进行了0~75 Hz频段滤波，并对每个数据窗口执行基线减法处理。针对外周生理数据，本研究采用蓝牙供电的EMPATICA E4腕带记录参与者的皮肤电反应（Galvanic Skin Response, GSR）。
本多模态情感数据库仅可用于学术研究用途，不得用于任何涉及商业利益的其他用途。该数据库不得全部或部分在其他平台发布，但基于本数据库分析所产生的任何研究成果，可在学术期刊或会议等研究渠道发表。
若有与本数据库相关的数据问题，请联系尤塞尔·辛特伊博士（Dr. Yucel Cimtay），邮箱：[e-mail]

搜集汇总

背景与挑战

背景概述

LUMED-2是一个多模态情感数据集，包含13名参与者在观看情绪诱发视频时的面部表情、EEG和GSR数据，数据标签包括“悲伤”、“中性”和“快乐”三种情绪。数据集严格限于研究使用，不可用于商业目的。