This is an old revision of the document!

BIRAFFE dataset

We present BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization.

It is a dataset consisting of electrocardiogram (ECG), galvanic skin reaction (GSR) and changes in facial expression signals recorded during affect elicitation by means of audio-visual stimuli (from IADS and IAPS databases) and our two proof-of-concept affective games ("Affective SpaceShooter 2" and "Fred Me Out 2"). All the signals were captured using portable and low-cost equipment: BITalino (r)evolution kit for ECG and GSR, and Creative Live! web camera for face photos (further analyzed by MS Face API). 

Besides the signals, the dataset consists also of subjects' self-assessment of their affective state after each stimuli (with the use of two widgets: the first one with 5 emoticons and the second with valence and arousal dimensions) and “Big Five” personality traits assessment (using NEO-FFI inventory).

The whole dataset is available under the CC BY-NC-ND 4.0 licence at Zenodo.

All documents and papers that report on research that uses the BIRAFFE dataset should acknowledge this by citing the paper:
Krzysztof Kutt, Dominika Drążyk, Paweł Jemioło, Szymon Bobek, Barbara Giżycka, Victor Rodriguez-Fernandez and Grzegorz J. Nalepa (2019). BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization. AfCAI 2019: Workshop on Affective Computing and Context Awareness in Ambient Intelligence. Submitted, in review.
Draft of the paper was uploaded with the dataset as the BIRAFFE-AfCAI2019-paper.pdf.

An extended description of the experiment conducted to obtain the BIRAFFE dataset will be provided in:
Krzysztof Kutt, Dominika Drążyk, Szymon Bobek, Barbara Giżycka, Paweł Jemioło and Grzegorz J. Nalepa (2020). Multimodal emotion detection with use of AI methods and contextual information. European Journal of Personality. Submitted, in review.

  • pub/biraffe.1571674564.txt.gz
  • Last modified: 2019/10/21 16:16
  • by kkutt