Title
A Combined Semantic and Motion Capture Database for Real-Time Sign Language Synthesis
Abstract
Over the past decade, motion capture data has become a popular research tool, and motion databases have grown exponentially. Indexing, querying, and retrieving data has thus become more difficult, and has necessitated innovative approaches to using these databases. Our aim is to make this approach feasible for virtual agents signing in French Sign Language (LSF), taking into account the semantic information implicitly contained in language data. We thus structure a database in two autonomous units, taking advantage of differing indexing methods within each. This allows us to effectively retrieve captured motions to produce LSF animations. We describe our methods for querying motion in the semantic database, computing transitory segments between concatenated signs, and producing realistic animations of a virtual LSF signer.
Year
DOI
Venue
2009
10.1007/978-3-642-04380-2_47
IVA
Keywords
Field
DocType
virtual agent,lsf animation,real-time sign language synthesis,combined semantic,semantic database,virtual lsf signer,motion capture database,retrieving data,language data,querying motion,motion databases,semantic information,motion capture data,sign language,real time,indexation,signal processing,motion capture
Motion capture,Virtual agent,Computer science,Search engine indexing,Semantic information,Sign language,Artificial intelligence,Natural language processing,Concatenation,French Sign Language,Database
Conference
Volume
ISSN
Citations 
5773
0302-9743
12
PageRank 
References 
Authors
0.81
11
5
Name
Order
Citations
PageRank
Charly Awad1141.21
Nicolas Courty242044.55
Kyle Duarte3493.37
Thibaut Naour4494.03
Sylvie Gibet536752.50