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| pub:biraffe [2020/06/29 13:52] – BIRAFFE2 description kkutt | pub:biraffe [2021/01/23 11:20] – [BIRAFFE2 dataset] kkutt |
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| 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 //**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 (r)evolution kit for ECG and GSR and Creative Live! web camera for face photos (further analyzed by MS Face API). |
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| 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). | 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). |
gjn