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--- pub:biraffe [2021/01/23 11:20] – [BIRAFFE2 dataset] kkutt
+++ pub:biraffe [2021/01/23 11:24] – kkutt
@@ Line 1: / Line 1: @@
-====== BIRAFFE2 dataset ======
+====== BIRAFFE ======
+BIRAFFE is a series of experiments, placed in affective computing area, aimed at development of smart, affordable & wearable solutions for personalization of AI systems. Prepared datasets are available online (see below for more details). They consists of electrocardiogram (ECG), galvanic skin reaction (GSR), gyroscope and changes in facial expression signals recorded during affect elicitation by means of audio-visual stimuli and our proof-of-concept affective games. All the signals were captured using portable and low-cost equipment.
+===== BIRAFFE2 dataset =====
 <badge>[[https://doi.org/10.5281/zenodo.3865859
 |{{https://zenodo.org/badge/DOI/10.5281/zenodo.3865859.png}}]]</badge>
-This is our 2nd Study in **Bi**o-**R**eactions **a**nd **F**aces **f**or **E**motion-based Personalization for AI Systems (**BIRAFFE2**). It is a dataset consisting of //**electrocardiogram (ECG)**//, //**galvanic skin response (GSR)**//, changes in //**facial expression**// signals and //**hand movements**// (represented by gamepad's accelerometer and gyroscope) recorded during affect elicitation by means of //**audio-visual stimuli**// (from IADS and IAPS databases) and our proof-of-concept three-level //**[[pub:prototypes|emotion evoking game]]**//. 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).
+This is our 2nd Study in **Bi**o-**R**eactions **a**nd **F**aces **f**or **E**motion-based Personalization for AI Systems (**BIRAFFE2**). It is a dataset consisting of //**electrocardiogram (ECG)**//, //**galvanic skin response (GSR)**//, changes in //**facial expression**// signals and //**hand movements**// (represented by gamepad's accelerometer and gyroscope) recorded during affect elicitation by means of //**audio-visual stimuli**// (from IADS and IAPS databases) and our proof-of-concept three-level //**[[pub:prototypes|emotion evoking game]]**//. All the signals were captured using portable and low-cost equipment: BITalino <nowiki>(r)evolution</nowiki> 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 (in the //**valence and arousal**// dimensions), //**"Big Five" personality traits**// assessment (using NEO-FFI inventory), and //**game involvement**//-related metrics (using GEQ questionnaire).
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 Draft of the paper was uploaded with the dataset as the ''_BIRAFFE2-HAIW2020-paper-draft.pdf''
-====== BIRAFFE1 dataset ======
+===== BIRAFFE1 dataset =====
 <badge>[[https://doi.org/10.5281/zenodo.3442143