BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization

We present BIRAFFE, 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).

For detailed description see BIRAFFE-AfCAI2019-paper.pdf.
For preview of the files before downloading the whole dataset see sample-SUB1107-[…] files.

All documents and papers that report on research that uses the BIRAFFE dataset should acknowledge this by citing the paper:
Kutt, K., Drążyk, D., Jemioło, P., Bobek, S., Giżycka, B., Rodriguez-Fernandez, V., & Nalepa, G. J. (2020). "BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization". In G. J. Nalepa, J. M. Ferrandez, J. Palma, & V. Julian (Eds.), Proceedings of the 3rd Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2019) (CEUR-WS Vol. 2609). http://ceur-ws.org/Vol-2609/

Our research related to the BIRAFFE dataset is summarized in:
Kutt, K., Drążyk, D., Bobek, S., & Nalepa, G. J. (2021). "Personality-Based Affective Adaptation Methods for Intelligent Systems". Sensors, 21(1), 163. https://doi.org/10.3390/s21010163