Center for Science for Development - Assistive Technology and Accessibility in Libras

• Grant number: 24/00914-7
• Support Opportunities: Research Grants - Science Centers for Development
• Start date: July 01, 2024
• End date: June 30, 2029
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: José Mario de Martino
• Grantee: José Mario de Martino
• Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
• Pesquisadores principais: Felipe Venâncio Barbosa ; Marcus Vinicius Batista Nascimento ; Vagner Luiz Gava
• Associated researchers: Angelina da Silva Inacio ; Fabio Rogerio Lins Pereira de Souza ; Felipe Augusto Frazão Kleine ; Felipe Venâncio Barbosa ; Hélio Pedrini ; Marcus Vinicius Batista Nascimento ; Sylvia Lia Grespan Neves
• Associated scholarship(s): 25/03814-6 - Gloss to Text Machine Translation, BP.DR; 25/02642-7 - Translation and Interpretation to support CCD-TAAL activities., BP.TT; 25/01019-4 - Construction of the CCD-TAAL database, translation and interpretation processes of the Libras-Portuguese language pair and studies of motion capture and eye tracking, BP.TT; 24/18575-4 - Construction of the CCD-TAAL database and development of 3D avatar., BP.TT

Abstract

The Center for Science for Development - Assistive Technology and Accessibility in Libras (CCD-TAAL) is a multidisciplinary effort involving researchers from the State University of Campinas (Universidade Estadual de Campinas), University of São Paulo (Universidade de São Paulo), Federal University of São Carlos (Universidade Federal de São Carlos), and the Institute of Technological Research (Instituto de Pesquisas Tecnológicas) in partnership with the State Secretariat for the Rights of Persons with Disabilities. The CCD-TAAL seeks to advance the development of solutions to reduce the communication barriers between the deaf and hearing communities. The CCD-TAAL proposes to face this challenge by focusing on developing approaches for automatically translating Brazilian Sign Language (Libras) into Portuguese and vice versa, exploring modern machine learning techniques based on deep neural networks. This mission aligns with the strategic theme proposed in the FAPESP Call for Proposals, which seeks a research project on artificial intelligence to make Libras accessible. (AU)