The uulmMAC Database—A Multimodal Affective Corpus for Affective Computing in Human-Computer Interaction

In this paper, we present a multimodal dataset for affective computing research acquired in a human-computer interaction (HCI) setting. An experimental mobile and interactive scenario was designed and implemented based on a gamified generic paradigm for the induction of dialog-based HCI relevant emo...

Descrición completa

Detalles Bibliográficos

Principais autores:	Dilana Hazer-Rau, Sascha Meudt, Andreas Daucher, Jennifer Spohrs, Holger Hoffmann, Friedhelm Schwenker, Harald C. Traue
Formato:	Artigo
Idioma:	Inglês
Publicado:	MDPI AG 2020-04-01
Series:	Sensors
Assuntos:	affective corpus multimodal sensors overload underload interest frustration
Acceso en liña:	https://www.mdpi.com/1424-8220/20/8/2308
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!