Sign Language Recognition Using Leap Motion

Tipo de publicación: Conference Paper

Publicado en: Ubiquitous Computing and Ambient Intelligence. Sensing, Processing, and Using Environmental Information

Autores
  • Quesada, Luis
  • López, Gustavo
  • Guerrero, Luis A.
  • García-Chamizo, Juan M.
  • Fortino, Giancarlo
  • Ochoa, Sergio F.

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
  • Automatic sign language recognition
  • Leap Motion
  • Support vector machine
Resumen

Several million people around the world use signs as their main mean of communication. The advances in technologies to recognize such signs will make possible the computer supported interpretation of sign languages. There are more than 137 different sign language around the world; therefore, a system that interprets those languages could be beneficial to all, including the Deaf Community. This paper presents a system based on a hand tracking device called Leap Motion, used for signs recognition. The system uses a Support Vector Machine for sign classification. We performed three different evaluations of our system with over 24 people.

DOI BIBTEXT

Datos bibliográficos
Cita bibliográfica
Sign Language Recognition Using Leap Motion