Desarrollo de un prototipo portátil para el reconociemiento de señales dactilológicas mediante visión artificial

The social and work insertion of deaf-mute people is complicated by the lack of knowledge of sign language by the hearing people, so an alternative was proposed for two-way communication between deaf and hearing people with the development of a portable recognition prototype Dactylological signs by artificial vision, which was based on Vector Support Machine (SVM). The hardware consists of a Pi Camera of 5 MP (Mega Pixels), a Raspberry Pi 3 with a processor of 2GHZ that allows the treatment of images and the work with several softwares and thanks to their size makes the prototype is compact, a screen 7 "HD Touch (High Definition) with native connection to the Raspberry. The software consists of two parts, the same ones that work together to result in the operation of the prototype, the trainer program creates a database that serves as support for the application through the camera in live video capture the fingerprint And thanks to the SVM compare them and predicts forming words as vectors, which are then reproduced through audio. The effectiveness of the prototype was validated through satisfaction surveys conducted at INAL (National Institute of Hearing and Language) and FENASEC (National Federation of Deaf People of Ecuador). Of which the results obtained were 83% of satisfactory acceptance on the use of the prototype.

• Auteur principal: Rueda Valencia, Bryan Patricio (author)
• Format: bachelorThesis
• Langue: spa
• Publié: 2017
• Sujets: INGENIERÍA DE PROTOTIPOS; INTELIGENCIA ARTIFICIAL; PROGRAMAS PARA COMPUTADOR; SORDOMUDOS
• Accès en ligne: http://dspace.ups.edu.ec/handle/123456789/14568