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

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...

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Bibliographic Details
Main Authors: Dilana Hazer-Rau, Sascha Meudt, Andreas Daucher, Jennifer Spohrs, Holger Hoffmann, Friedhelm Schwenker, Harald C. Traue
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sensors
Subjects:
affective corpus
multimodal sensors
overload
underload
interest
frustration
Online Access:https://www.mdpi.com/1424-8220/20/8/2308

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https://www.mdpi.com/1424-8220/20/8/2308

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