Reconocimiento de lengua de se˜nas como medio para un mundo m´as inclusivo

  • Daniel Sánchez Ruiz Facultad de ciencias de la Computación, Benemérita Universidad Autónoma de Puebla
  • J. Arturo Olvera López Facultad de ciencias de la Computación, Benemérita Universidad Autónoma de Puebla
  • Ivan Olmos Pineda Facultad de ciencias de la Computación, Benemérita Universidad Autónoma de Puebla
Keywords: Sign language recognition, computer vision, patter recognition, machine learning

Abstract

There are many disabilities in the world that in some way present difficulties and challenges to the people who have them. One of them is hearing loss or total deafness. Among the various challenges that people with these disabilities must face, the one related to communicate with members of the speaking community is one of the main ones. Deaf people have a sign language with which they can communicate their feelings, ideas, or needs; however, two key problems arise. The first is that not all Deaf people know how to use sign language, and the second is that very few speakers know how to interpret sign language. Faced with such problems, language recognition systems emerge as technological developments that seek to break down these communication barriers. This paper provides a description of these technologies, the main current challenges, as well as future prospects.

 

 

 

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Published
2021-06-14
How to Cite
Sánchez Ruiz, D., Olvera López, J. A., & Olmos Pineda, I. (2021). Reconocimiento de lengua de se˜nas como medio para un mundo m´as inclusivo. Contactos, Revista De Educación En Ciencias E Ingeniería, (120), 35-46. Retrieved from https://contactos.izt.uam.mx/index.php/contactos/article/view/117
Section
Artículos