Caroline Larboulette

Université de Bretagne Sud, Human Media

Papers

2

Total Citations

15

H-Index

2

About

Caroline Larboulette is a leading researcher at the intersection of computer animation and accessibility, specializing in the synthesis and editing of motion for French Sign Language (LSF). Her work directly addresses a critical challenge: creating realistic, human-like signing avatars that deaf communities will accept and understand. Traditional procedural animation often produces robotic, unnatural movements that are rejected by users. Larboulette’s major contributions lie in developing motion-capture-driven techniques to generate fluid, expressive sign language content. Her 2021 paper on motion synthesis and editing for new sign language content (9 citations) and her 2020 work introducing the LSF-ANIMAL motion capture corpus (6 citations) are foundational. The LSF-ANIMAL corpus is specifically designed to animate signing avatars, enabling deaf individuals to access information in their preferred language through interactive, spatio-temporal visualization. By bridging biomechanics, linguistics, and computer graphics, Larboulette’s research is not only technically innovative but also socially impactful, striving to make digital information more inclusive for the deaf community.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Motion synthesis and editing for the generation of new sign language content
9 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Université de Bretagne Sud, Human Media

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago