Szczegóły publikacji
Opis bibliograficzny
Eye-tracking as a component of multimodal emotion recognition systems / Weronika CELNIAK, Piotr AUGUSTYNIAK // W: Information Technology in Biomedicine : 9th international conference, ITIB 2022 : Kamień Śląski, Poland, June 20-22, 2022 : proceedings / eds. Ewa Pietka, [et al.]. — Cham: Springer International Publishing AG, cop. 2022. — (Advances in Intelligent Systems and Computing ; ISSN 2194-5357 ; vol. 1429). — ISBN: 978-3-031-09134-6; e-ISBN: 978-3-031-09135-3. — S. 66–75. — Bibliogr., Abstr. — Afiliacja autorów: University of Science and Technology
Autorzy (2)
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 145163 |
|---|---|
| Data dodania do BaDAP | 2023-02-09 |
| DOI | 10.1007/978-3-031-09135-3_6 |
| Rok publikacji | 2022 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
| Wydawca | Springer |
| Czasopismo/seria | Advances in Intelligent Systems and Computing |
Abstract
Emotions play an important role in everyday human interaction. The accurate detection of these non-verbal signals by intelligent systems would allow for a more intuitive way of communicating in human-computer interfaces and could allow for more effective assistance to people suffering from mental disorders. Therefore, this is a constantly popular topic among researchers. Many detection algorithms based on a single signal such as speech, facial expression, EEG or ECG have been described in the literature, but thanks to both: recent technological advances in machine learning and increased available computing power, researchers’ attention is increasingly focused on solutions using more than one modality. The aim of this paper is to present introduced to date multimodal emotion recognition systems using eye-tracking as a method in multimodal emotion recognition systems as well as a brief overview of the currently available eye-tracking devices and psychophysiological basis of emotion-related eye features.