Improving Deaf People Accessibility and Communication Through Automatic Sign Language Recognition Using Novel Technologies

Tipo de publicación: Book Chapter

Publicado en: Advances in Design for Inclusion

Autores
  • Quesada, Luis
  • López, Gustavo
  • Guerrero, Luis
  • Di Bucchianico, Giuseppe
  • Kercher, Pete

Investigadores del CITIC asociados a la publicación
Luis Quesada Quirós
Gustavo López Herrera
Luis Alberto Guerrero Blanco

Proyecto asociado a la publicación
Uso de interfaces no tradicionales para el reconocimiento de señas

Palabras claves
  • American sign language
  • Intel realsense
  • Leap Motion
  • Sign language recognition
Resumen

Communication is a key for human development. Nevertheless, deaf people have difficulty interacting with hearing and hard of hearing people. On the other hand, new technology allows gesture recognition. This work aims to promote the development of tools to take advantage of 3D camera technology for the benefit of the Deaf Community around the world. This research proposes a sign recognition model using 3d cameras (i.e. Leap Motion and Intel RealSense) and support vector machines (SVM). The goal is to support the communication process between deaf and hearing people. Furthermore, we conduct an experiment determining an appropriate amount of training sample signs to ensure satisfactory results using SVMs.

DOI BIBTEXT

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Cita bibliográfica
Improving Deaf People Accessibility and Communication Through Automatic Sign Language Recognition Using Novel Technologies