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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.

Papers
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Book ChapterDOI

Levels of representation in the annotation of emotion for the specification of expressivity in ECAs

TL;DR: This paper presents a two-steps approach towards the creation of affective Embodied Conversational Agents: annotation of a real-life nonacted emotional corpus and animation by copy-synthesis.
Proceedings ArticleDOI

Appraising emotional events during a real-time interactive game

TL;DR: This paper presents an implementation of an event based facial animation system based on Scherer's Component Process Theory of emotions that generates appraisal events during a real-time game interaction with a user.
Journal ArticleDOI

A New Virtual Environment Paradigm for High-Functioning Autism Intended to Help Attentional Disengagement in a Social Context

TL;DR: It is hypothesized that the difficulties in appreciating the synergy between facial expressions and speech could be linked to impairments in shifting attention from one to the other, and a new experimental paradigm designed for testing this hypothesis is presented.
Proceedings Article

Multimodal Annotation of Conversational Data

TL;DR: A broad-coverage approach for multimodal annotation of conversational data is proposed and the first results of the OTIM project aiming at developing conventions and tools for multi-modal annotation are presented.
Journal ArticleDOI

Haptic communication of dimensions of emotions using air jet based tactile stimulation

TL;DR: A more suitable tactile stimulation strategy based on mobile air jet which provides a non-intrusive tactile stimulation on different and large areas on the body is proposed which allows an efficient simulation of skin mechanoreceptors which play an important role in social and affective behaviors.