Szczegóły publikacji
Opis bibliograficzny
BIRAFFE: bio-reactions and faces for emotion-based personalization / Krzysztof KUTT, Dominika Drążyk, Paweł JEMIOŁO, Szymon BOBEK, Barbara GIŻYCKA, Victor Rodriguez-Fernandez, Grzegorz J. NALEPA // W: AfCAI 2019 [Dokument elektroniczny] : 3rd workshop on Affective Computing and Context Awareness in Ambient Intelligence : Cartagena, Spain, November 11–12, 2019 : proceedings / ed. by Grzegorz J. Nalepa [et al.]. — Wersja do Windows. — Dane tekstowe. — [Spain] : CEUR, cop. 2019. — ( CEUR Workshop Proceedings ; ISSN 1613-0073 ; vol. 2609 ). — s. [1–17]. — Wymagania systemowe: Adobe Reader. — Tryb dostępu: http://ceur-ws.org/Vol-2609/AfCAI2019_paper_6.pdf [2020-06-25]. — Bibliogr. s. 16–17, Abstr. — Publikacja dostępna online od: 2020-05-31. — G. J. Nalepa - pierwsza afiliacja: Jagiellonian University
Autorzy (7)
- AGHKutt Krzysztof
- Drążyk Dominika
- AGHJemioło Paweł
- AGHBobek Szymon
- AGHGiżycka Barbara
- Rodriguez-Fernandez Victor
- AGHNalepa Grzegorz Jacek
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 129112 |
|---|---|
| Data dodania do BaDAP | 2020-06-26 |
| Rok publikacji | 2019 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Creative Commons | |
| Czasopismo/seria | CEUR Workshop Proceedings |
Abstract
In this paper we introduce the BIRAFFE data set which is the result of the experiment in affective computing we conducted in early 2019. The experiment is part of the work aimed at the development of computer models for emotion classification and recognition. We strongly believe that such models should be personalized by design as emotional responses of different persons are subject to individual differences due to their personality. In the experiment we assumed data fusion from both visual and audio stimuli both taken from standard public data bases (IADS and IAPS respectively). Moreover, we combined two paradigms. In the first one, subjects were exposed to stimuli, and later their bodily reactions (EGG, GSR, and face expression) were recorded. In the second one the subjects played basic computer games, with the same reactions constantly recorded. We decided to make the data set publicly available to the research community using the Zenodo platform. As such, the data set contributes to the development and replication of experiments in AfC. Copyright © 2019 for this paper by its authors.
