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Towards automated full body detection of laughter driven by human expert annotation


Mancini, Maurizio; Hofmann, Jennifer; Platt, Tracey; Volpe, Gualtiero; Varni, Giovanna; Glowinski, Donald; Ruch, Willibald; Camurri, Antonio (2013). Towards automated full body detection of laughter driven by human expert annotation. In: Humaine Association Conference on Affective Computing and Intelligent Interaction, Geneva, 2 September 2013 - 5 September 2013, 757-762.

Abstract

Within the EU ILHAIRE Project, researchers of several disciplines (e.g., computer sciences, psychology) collaborate to investigate the psychological foundations of laughter, and to bring this knowledge into shape for the use in new technologies (i.e., affective computing). Within this framework, in order to endow machines with laughter capabilities (encoding as well as decoding), one crucial task is an adequate description of laughter in terms of morphology. In this paper we present a work methodology towards automated full body laughter detection: starting from expert annotations of laughter videos we aim to identify the body features that characterize laughter.

Within the EU ILHAIRE Project, researchers of several disciplines (e.g., computer sciences, psychology) collaborate to investigate the psychological foundations of laughter, and to bring this knowledge into shape for the use in new technologies (i.e., affective computing). Within this framework, in order to endow machines with laughter capabilities (encoding as well as decoding), one crucial task is an adequate description of laughter in terms of morphology. In this paper we present a work methodology towards automated full body laughter detection: starting from expert annotations of laughter videos we aim to identify the body features that characterize laughter.

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3 citations in Web of Science®
4 citations in Scopus®
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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Psychology
Dewey Decimal Classification:150 Psychology
Uncontrolled Keywords:DoktoratPsych
Language:English
Event End Date:5 September 2013
Deposited On:29 Oct 2013 07:59
Last Modified:05 Apr 2016 17:04
Publisher:IEEE Computer Society
ISBN:978-0-7695-5048-0
Free access at:Related URL. An embargo period may apply.
Publisher DOI:https://doi.org/10.1109/ACII.2013.140
Related URLs:http://www.ilhaire.eu/pdf/5048a757.pdf
Permanent URL: https://doi.org/10.5167/uzh-82251

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