Multimodal Analysis of Laughter for an Interactive System

Jérôme Urbain; Radoslaw Niewiadomski; Maurizio Mancini; Harry Griffin; Hüseyin Çakmak; Laurent Ach; Gualtiero Volpe

Intelligent Technologies for Interactive Entertainment. 5th International ICST Conference, INTETAIN 2013, Mons, Belgium, July 3-5, 2013, Revised Selected Papers

Research Article

Multimodal Analysis of Laughter for an Interactive System

Download

546 downloads

Cite: BibTeX Plain Text

@INPROCEEDINGS{10.1007/978-3-319-03892-6_22,
    author={J\^{e}r\~{o}me Urbain and Radoslaw Niewiadomski and Maurizio Mancini and Harry Griffin and H\'{y}seyin \`{E}akmak and Laurent Ach and Gualtiero Volpe},
    title={Multimodal Analysis of Laughter for an Interactive System},
    proceedings={Intelligent Technologies for Interactive Entertainment. 5th International ICST Conference, INTETAIN 2013, Mons, Belgium, July 3-5, 2013, Revised Selected Papers},
    proceedings_a={INTETAIN},
    year={2014},
    month={6},
    keywords={laughter multimodal analysis},
    doi={10.1007/978-3-319-03892-6_22}
}

Jérôme Urbain
Radoslaw Niewiadomski
Maurizio Mancini
Harry Griffin
Hüseyin Çakmak
Laurent Ach
Gualtiero Volpe
Year: 2014
Multimodal Analysis of Laughter for an Interactive System
INTETAIN
Springer
DOI: 10.1007/978-3-319-03892-6_22

Jérôme Urbain¹^,*, Radoslaw Niewiadomski², Maurizio Mancini³, Harry Griffin⁴, Hüseyin Çakmak¹, Laurent Ach⁵, Gualtiero Volpe³

1: Université de Mons
2: LTCI UMR 5141 - Telecom ParisTech
3: Università degli Studi di Genova
4: University College London
5: LA CANTOCHE PRODUCTION

*Contact email: jerome.urbain@umons.ac.be

Abstract

In this paper, we focus on the development of new methods to detect and analyze laughter, in order to enhance human-computer interactions. First, the general architecture of such a laughter-enabled application is presented. Then, we propose the use of two new modalities, namely body movements and respiration, to enrich the audiovisual laughter detection and classification phase. These additional signals are acquired using easily constructed affordable sensors. Features to characterize laughter from body movements are proposed, as well as a method to detect laughter from a measure of thoracic circumference.

Keywords: laughter multimodal analysis

Published: 2014-06-19

: http://dx.doi.org/10.1007/978-3-319-03892-6_22