figshare
Browse
LUMED-2.zip (518.87 MB)

Loughborough University Multimodal Emotion Dataset-2

Download (518.87 MB)
Version 5 2021-03-22, 21:31
Version 4 2020-07-11, 19:40
Version 3 2020-07-11, 19:30
Version 2 2020-07-11, 19:30
Version 1 2020-07-11, 19:27
dataset
posted on 2021-03-22, 21:31 authored by Erhan EkmekciogluErhan Ekmekcioglu, Yucel CIMTAYYucel CIMTAY
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.

This multimodal emotion database is produced and should be used for research purposes only.

For any questions related to the data contained in this database, contact Dr Yucel Cimtay (yucel.cimtay@gmail.com)

Funding

Institutional Links grant, ID 352175665, under the Newton - Katip Celebi partnership between the UK and Turkey

History

Usage metrics

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC