Force, EEG, and Emotion Labelled Dataset (FEEL)

Citation Author(s):
Xi Laura
Cang
Paul
Bucci
Laura
Rodgers
Hailey
Mah
Anushka
Agrawal
Karon E.
MacLean
Submitted by:
Bereket Guta
Last updated:
Thu, 03/16/2023 - 21:04
DOI:
10.21227/05d3-qm90
Data Format:
*.csv
Links:
FEEL Dataset Access
License:
Creative Commons Attribution
1167 Views
Categories:
Machine Learning
Biophysiological Signals
Keywords:
Affective Touch, Emotion Recognition, EEG, FSR, Multi-pass Emotion Labelling, Calibrated Emotion Scales, Video Game
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Abstract 

We present our FEEL (Force, EEG and Emotion-Labelled) dataset, a collection of brain activity, and keypress force data, labelled with self-reported emotion during tense videogame play (N=16).

Instructions: 

The dataset consists of comma-separated value (.csv) files organized by participant. For each participant there are four csv files: brain activity, keypress, calibrated words and joystick data. To get started: unzip feel.zip and additional zip files within and optionally run read_feel_data.py to generate a single pickle file from the .csv files (subject_data.pk) for later processing.

Comments

great

Submitted by zeynep esen on Tue, 06/13/2023 - 05:08

great!

Submitted by Seung-Min Lee on Sun, 04/14/2024 - 09:14

Dataset Files

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Documentation

AttachmentSize
File readme.md1.49 KB

 

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