MC-TRISLAN: A Large 3D Motion Capture Sign Language Data-set

Autor/a: JEDLICKA, Pavel; KRNOUL, Zedenek; ZELEZNY, Milos; MÜLLER, Ludek
Año: 2022
Editorial: European Language Resources Association
Tipo de código: Copyright
Soporte: Digital


Medios de comunicación y acceso a la información » Nuevas Tecnologías


The new 3D motion capture data corpus expands the portfolio of existing language resources by a corpus of 18~hours of Czech sign language. This helps to alleviate the current problem, which is a critical lack of high quality data necessary for research and subsequent deployment of machine learning techniques in this area. We currently provide the largest collection of annotated sign language recordings acquired by state-of-the-art 3D human body recording technology for the successful future deployment in communication technologies, especially machine translation and sign language synthesis.

En Proceedings of the LREC2022 10th Workshop on the Representation and Processing of Sign Languages: Multilingual Sign Language Resources.