| Revista: | Computación y sistemas |
| Base de datos: | |
| Número de sistema: | 000560369 |
| ISSN: | 1405-5546 |
| Autores: | Fakhfakh, Sana Jemaa, Yousra Ben1 |
| Instituciones: | 1El Manar University, Signal and System Research Unit, Túnez |
| Año: | 2018 |
| Periodo: | Oct-Dic |
| Volumen: | 22 |
| Número: | 4 |
| Paginación: | 1415-1430 |
| País: | México |
| Idioma: | Inglés |
| Resumen en inglés | This paper suggests a new system to help the deaf and the hearing-impaired community improve their connection with the hearing world and communicate freely. The most important thing in this system is how to help the users be free and finally have a more natural way of communication. For this reason, we present a new process based on two levels: a static-level aiming to extract the most head/hands key points and a dynamic-level with the objective of accumulating the key-point trajectory matrix. Also our proposed approach takes into account the signer-independence constraint. A SIGNUM database is applied in the classification stage and our system performances have improved with a 94.3% recognition rate. Furthermore, a reduction in time processing is obtained when the removing of redundant frame step is applied. The obtained results prove the superiority of our system compared to the state-of- the-art methods in terms of recognition rate and execution time. |
| Keyword: | Sign language recognition, Isolated word, Signer-independence, Particular filter, Key-point trajectory matrix |
| Texto completo: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
