We present AMHUSE (A Multimodal dataset for HUmour SEnsing) along with a novel web-based annotation tool named DANTE (Di- mensional ANnotation Tool for Emotions). The dataset is the result of an experiment concerning amusement elicitation, involving 36 subjects in order to record the reactions in presence of 3 amusing and 1 neutral video stimuli. Gathered data include RGB video and depth sequences along with physiological responses (electrodermal activity, blood volume pulse, temperature). The videos were later annotated by 4 experts in terms of valence and arousal continuous dimensions. Both the dataset and the annotation tool are made publicly available for research purposes.

AMHUSE: A Multimodal dataset for HUmour SEnsing / G. Boccignone, C. Donatello, V. Cuculo, R. Lanzarotti - In: ICMI 2017 : Proceedings[s.l] : ACM, 2017 Nov. - ISBN 9781450355438. - pp. 438-445 (( Intervento presentato al 19. convegno International Conference on Multimodal Interaction tenutosi a Glasgow nel 2017 [10.1145/3136755.3136806].

AMHUSE: A Multimodal dataset for HUmour SEnsing

G. Boccignone;V. Cuculo;R. Lanzarotti
2017

Abstract

We present AMHUSE (A Multimodal dataset for HUmour SEnsing) along with a novel web-based annotation tool named DANTE (Di- mensional ANnotation Tool for Emotions). The dataset is the result of an experiment concerning amusement elicitation, involving 36 subjects in order to record the reactions in presence of 3 amusing and 1 neutral video stimuli. Gathered data include RGB video and depth sequences along with physiological responses (electrodermal activity, blood volume pulse, temperature). The videos were later annotated by 4 experts in terms of valence and arousal continuous dimensions. Both the dataset and the annotation tool are made publicly available for research purposes.
Emotion recognition; Affective computing; Dataset; Multimodal dataset; Amusement evaluation; Annotation tool
Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni
Settore INF/01 - Informatica
nov-2017
ACM
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/528236
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