LabanLab: An Interactive Choreographical System with Labanotation-Motion Preview
Zhe Yan1,
Borou Yu2,
Zeyu Wang1,3
The Hong Kong University of Science and Technology (Guangzhou)1,
University of California, Santa Barbara, Media Arts and Technology Program2,
The Hong Kong University of Science and Technology3
Abstract
This paper introduces LabanLab, a novel choreography system that facilitates the creation of dance notation with motion preview. LabanLab features an interactive interface for creating Labanotation staff coupled with visualization of corresponding movements. Leveraging large language models (LLMs) and text-to-motion frameworks, LabanLab translates symbolic notation into natural language descriptions to generate lifelike character animations. As the first web-based Labanotation editor with motion synthesis capabilities, LabanLab makes Labanotation an input modality for multitrack human motion generation, empowering choreographers with practical tools and inviting novices to explore dance notation interactively.