Captar-Libras [en]
Communication between deaf patients and health professionals, who are not fluent in sign language, requires a human interpreter to translate the conversation. The Captar-Libras is a research and development project that seeks to facilitate communication between deaf people and health professionals without needing a human interpreter. This task is of great importance all over the world since there are millions of people in the world who use different variations of sign language to communicate. Therefore, Computer Vision, Artificial Intelligence, and Human-Computer Interface techniques are applied to develop a system capable of translating communication in both directions, focused on Brazilian Sign Language (Libras). As a result, the system will be able to convert videos of sign language speakers to text, as well as convert text to video in sign language, generating a photorealistic avatar that simulates a human interpreter.
Datasets
Captar-Libras Dataset
The dataset is still under construction. We show below a video and some images of the dataset setup.
Acknowledgment
This project is supported by Finep.
Team

Mario F. M. Campos
Professor
Douglas Guimarães Macharet
Associate Professor
Erickson Rangel do Nascimento
Principal Investigator
Luiz Chaimowicz
Professor
Michel Melo da Silva
Researcher
Thiago Luange Gomes
Researcher
Jéssica Luiza Ferreira Ramos
MsC Student
Raphael Carmo Silva Nepomuceno
MsC Student
Eduarda Mendes Pinto Barbosa
Undergraduate Students
Felippe Veloso Marinho
Undergraduate Student
Ari Gonçalves da Silva Filho
Undergraduate Student
Bruno de Souza Lages
Undergraduate StudentFormer Members

Diognei de Matos
Researcher