Laughter Induction Techniques Suitable for Generating Motion Capture Data of Laughter Associated Body Movements


Autoria(s): McKeown, Gary; Curran, William; McLoughlin, Ciaran; Griffin, Harry J.; Bianchi-Berthouze, Nadia
Data(s)

2013

Resumo

Laughter is a frequently occurring social signal and an important part of human non-verbal communication. However it is often overlooked as a serious topic of scientific study. While the lack of research in this area is mostly due to laughter’s non-serious nature, it is also a particularly difficult social signal to produce on demand in a convincing manner; thus making it a difficult topic for study in laboratory settings. In this paper we provide some techniques and guidance for inducing both hilarious laughter and conversational laughter. These techniques were devised with the goal of capturing mo- tion information related to laughter while the person laughing was either standing or seated. Comments on the value of each of the techniques and general guidance as to the importance of atmosphere, environment and social setting are provided.

Formato

application/pdf

Identificador

http://pure.qub.ac.uk/portal/en/publications/laughter-induction-techniques-suitable-for-generating-motion-capture-data-of-laughter-associated-body-movements(5dcfbaf8-25cb-431a-9afa-806888c0a199).html

http://dx.doi.org/10.1109/FG.2013.6553806

http://pure.qub.ac.uk/ws/files/9746711/LaughInductionInstituteRepositorycopy.pdf

Idioma(s)

eng

Publicador

Institute of Electrical and Electronics Engineers (IEEE)

Direitos

info:eu-repo/semantics/restrictedAccess

Fonte

McKeown , G , Curran , W , McLoughlin , C , Griffin , H J & Bianchi-Berthouze , N 2013 , Laughter Induction Techniques Suitable for Generating Motion Capture Data of Laughter Associated Body Movements . in 2013 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition (FG) . Institute of Electrical and Electronics Engineers (IEEE) , pp. 1-5 , 2nd International Workshop on Emotion Representation, Analysis and Synthesis in Continuous Time and Space (EmoSPACE) In conjunction with the IEEE FG 2013 , Shanghai , China , 22-26 April . DOI: 10.1109/FG.2013.6553806

Palavras-Chave #/dk/atira/pure/subjectarea/asjc/1700/1707 #Computer Vision and Pattern Recognition
Tipo

contributionToPeriodical