Dataset for article entitled "An empirical evaluation of methodologies used for emotion recognition via EEG signals"

899 27 13420 5 41272 document 13420 Shared Brain Data.zip application/zip 2ae77dfcadec508088848ced08081af0 MD5 1622822764 2020-08-12 16:06:16 https://researchdata.bath.ac.uk/899/1/Shared%20Brain%20Data.zip 899 1 1 application/zip other The dataset includes movies and python codes for classifying emotions from experiment 1, and EEG and ERP measurements from experiment 2 along with associated code for analyzing those data en public cc_by

Shared Brain Data.zip

data 13421 4 41276 document 13421 A Guide to the Datasets.docx application/vnd.openxmlformats-officedocument.wordprocessingml.document 8dcf723112ee04ddba73178abb6c5010 MD5 15388 2020-08-12 16:17:47 https://researchdata.bath.ac.uk/899/2/A%20Guide%20to%20the%20Datasets.docx 899 2 2 application/vnd.openxmlformats-officedocument.wordprocessingml.document other en public cc_by

A Guide to the Datasets.docx

documentation 13422 1 41283 document 13422 Ethics and paperwork.zip application/zip caeed8cc38101b807dacf9962671a507 MD5 1210891 2020-08-12 16:24:22 https://researchdata.bath.ac.uk/899/3/Ethics%20and%20paperwork.zip 899 3 3 application/zip other en staffonly

Ethics and paperwork.zip

ethics 13423 1 41287 document 13423 indexcodes.txt text/plain b761fbb104db45cffeee078840e678b3 MD5 2020 2020-08-12 16:25:05 https://researchdata.bath.ac.uk/899/4/indexcodes.txt 899 4 4 text/plain other Generate index codes conversion from other to indexcodes en staffonly

indexcodes.txt

http://eprints.org/relation/isVersionOf https://researchdata.bath.ac.uk/id/document/13421 http://eprints.org/relation/isVolatileVersionOf https://researchdata.bath.ac.uk/id/document/13421 http://eprints.org/relation/isIndexCodesVersionOf https://researchdata.bath.ac.uk/id/document/13421 archive 1349 disk0/00/00/08/99 2022-09-20 15:29:11 2024-06-14 10:01:15 2022-09-20 15:29:11 data_collection show Hinvest Neal N.Hinvest@bath.ac.uk 0000-0001-7662-1039 University of Bath TRUE Ashwin Chris C.Ashwin@bath.ac.uk 0000-0003-4606-7318 University of Bath FALSE Carter Felix F.Carter@bath.ac.uk University of Bath FALSE Hook James J.L.Hook@bath.ac.uk 0000-0003-2826-4000 University of Bath FALSE Smith Laura G. E. L.G.E.Smith@bath.ac.uk 0000-0002-8112-5096 University of Bath FALSE Stothart George G.Stothart@bath.ac.uk 0000-0003-1323-1580 University of Bath FALSE Dataset for article entitled "An empirical evaluation of methodologies used for emotion recognition via EEG signals" GJ0040 JN0010 dept_psy dept_math_sci EEG, emotion, classification, affect, methods The data is split into two parts according to the two experiments described within the article. The dataset includes movies and python codes for classifying emotions from experiment 1, and EEG and ERP measurements from experiment 2 along with associated code for analyzing those data. Experiment 1 tests the validity of the SEED dataset collated by Zheng, Dong, & Lu (2014) and, subsequently, our own stimuli. The objective was to test whether previous literature using such datasets as the aformentioned dataset by Zheng et al. is purportedly classifying between emotions based on emotion-related signals of interest and/or non-emotional ‘noise’. Experiment 2 used stimuli that have been well-validated within the psychological literature as reliably evoking specific embodiments of emotions within the viewer, namely the NimStim face and ADFES-BIV datasets with the objective of classifying a person's emotional status using EEG. All data was processed and analyses run in MATLAB or Python. All datasets used are included within the folders accompanied by the MATLAB or Python scripts for collating separable matrices and running the action. 2022-01-30 University of Bath public RightsHolder University of Bath Leverhulme Trust https://doi.org/10.13039/501100000275 Running the scripts requires MATLAB and Python 3 (with packages imageio, matplotlib, myknn, NumPy, pylab, SciPy, sklearn). en 1 10.15125/BATH-00899 https://doi.org/10.1080/17470919.2022.2029558 pub