J
Jean-Claude Martin
Researcher at Université Paris-Saclay
Publications - 167
Citations - 1820
Jean-Claude Martin is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Facial expression & Gesture. The author has an hindex of 21, co-authored 167 publications receiving 1634 citations. Previous affiliations of Jean-Claude Martin include Télécom ParisTech & Centre national de la recherche scientifique.
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Book ChapterDOI
What Should a Generic Emotion Markup Language Be Able to Represent
Marc Schröder,Laurence Devillers,Kostas Karpouzis,Jean-Claude Martin,Catherine Pelachaud,Christian Peter,Hannes Pirker,Björn Schuller,Jianhua Tao,Ian Wilson +9 more
TL;DR: A rich collection of use cases was compiled, and a structured set of requirements was distilled, which comprises the representation of the emotion-related state itself, some meta-information about that representation, various kinds of links to the "rest of the world", and several kinds of global metadata.
Journal ArticleDOI
Sur l'isomérisation du 1,5-anhydro-3,4,6-tri-O-benzyl-1,2-didésoxy-d-arabino-hex-1-énitol on présence d'acides de Lewis
Book ChapterDOI
The HUMAINE Database
Ellen Douglas-Cowie,Cate Cox,Jean-Claude Martin,Laurence Devillers,Roddy Cowie,Ian Sneddon,Margaret McRorie,Catherine Pelachaud,Christopher Peters,Orla Lowry,Anton Batliner,Florian Hönig +11 more
TL;DR: This chapter focuses on conveying the range of forms that emotion takes in the database, the ways that they can be labelled and the issues that the data raises.
Journal ArticleDOI
Multimodal indices to Japanese and French prosodically expressed social affects.
TL;DR: A perception study of the audovisual expression of 12 Japanese and 6 French attitudes in order to understand the contribution of audio and visual modalities for affective communication.
Book ChapterDOI
Collection and Annotation of a Corpus of Human-Human Multimodal Interactions: Emotion and Others Anthropomorphic Characteristics
TL;DR: The EmoTaboo protocol is presented for the collection of multimodal emotional behaviours occurring during human-human interactions in a game context and a new annotation methodology based on a hierarchical taxonomy of emotion-related words is introduced.