Skip to Main content Skip to Navigation
Conference papers

How to record, analyze and annotate gestures and sign languages with MoCap technologies

Jean-François Jégo 1, 2 Dominique Boutet 3 
1 INREV - Image Numérique et Réalité Virtuelle
AIAC - Arts des Images et Art Contemporain
2 AIAC - Arts des Images et Art Contemporain
3 UNIROUEN - Université de Rouen Normandie
Document type :
Conference papers
Complete list of metadata
https://hal-univ-paris8.archives-ouvertes.fr/hal-02526467
Contributor : Haki Shtalbi Connect in order to contact the contributor
Submitted on : Tuesday, March 31, 2020 - 3:59:23 PM
Last modification on : Thursday, April 7, 2022 - 8:55:56 AM

Identifiers

  • HAL Id : hal-02526467, version 1

Collections

UNIV-PARIS8 | AIAC | COMUE-NORMANDIE | UNIROUEN | UNIV-PARIS-LUMIERES | INREV

Citation

Jean-François Jégo, Dominique Boutet. How to record, analyze and annotate gestures and sign languages with MoCap technologies. MeMuMo: Methods in Multimodal Communication Research, Moscow State Language University, Oct 2017, Moscow, Russia. ⟨hal-02526467⟩

Export

BibTeX TEI DC DCterms EndNote Datacite

Share

Metrics

Record views

21