Trends and Challenges for Sign Language Recognition with Machine Learning

Autor/a: DE COSTER, Mathieu; DAMBRE, Joni; FRÉNAY, B.
Año: 2023
Editorial: ESSAN
Tipo de código: Copyright
Soporte: Digital

Temas

Medios de comunicación y acceso a la información » Tecnologías, Medios de comunicación y acceso a la información » Tecnologías » Inteligencia artificial

Detalles

Research in natural language processing has led to the creation of powerful tools for individuals, companies... However, these successes for written languages have not yet affected signed languages (SLs) to the same extent. The creation of similar tools for signed languages would benefit deaf, hard of hearing, and hearing people by making SL content, learning, and communication more accessible for everyone. SL recognition and translation are related to AI, but require collaboration with linguists and stakeholders. This paper describes related challenges from an AI researcher’s point of view and summarizes the state of the art in these domains.

Ubicación