Resumo

SALDANA GONZALEZ, Griselda; CEREZO SANCHEZ, Jorge; BUSTILLO DIAZ, Mario Mauricio  e  ATA PEREZ, Apolonio. Recognition and Classification of Sign Language for Spanish. Comp. y Sist. [online]. 2018, vol.22, n.1, pp.271-277. ISSN 2007-9737.  https://doi.org/10.13053/cys-22-1-2780.

In this paper it is presented a computational system for recognition and classification of letters of the sign language in Spanish, designed for helping deaf-mute people to communicate with other persons. A low-cost glove that captures the hand movements has been constructed. This one contains an accelerometer for each finger which allows detecting its position by using an acquisition data board. Sensor information is sent wirelessly to a computer having a software interface, developed in LabVIEW, in which the symbols dataset is generated. For the automatic recognition of letters we have applied a statistical treatment to the dataset obtaining accuracy greater than 96% independently of the user.

Palavras-chave : Signs language; machine learning; glove.