Sign Language Recognition Using Leap Motion
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| Autores: | , , |
|---|---|
| Formato: | contribución de congreso |
| Fecha de Publicación: | 2015 |
| Descripción: | 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. |
| País: | Kérwá |
| Institución: | Universidad de Costa Rica |
| Repositorio: | Kérwá |
| OAI Identifier: | oai:https://www.kerwa.ucr.ac.cr:10669/74490 |
| Acceso en línea: | https://link.springer.com/chapter/10.1007/978-3-319-26401-1_26 https://hdl.handle.net/10669/74490 |
| Access Level: | acceso abierto |
| Palabra clave: | American sign language Leap motion Support vector machine Automatic sign language recognition |