Recognition and Classification of Sign Language for Spanish

被引：0

作者：

Saldana Gonzalez, Griselda ^{[1
]}

Cerezo Sanchez, Jorge ^{[1
]}

Bustillo Diaz, Mario Mauricio ^{[2
]}

Ata Perez, Apolonio ^{[2
]}

机构：

[1] Univ Tecnol Puebla, Ingn Tecnol Automatizac, Puebla, Mexico

[2] Benemerita Univ Autonoma Puebla, Fac Ciencias Computac, Puebla, Mexico

来源：

COMPUTACION Y SISTEMAS | 2018年 / 22卷 / 01期

关键词：

Signs language; machine learning; glove;

D O I：

10.13053/CyS-22-1-2780

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：271 / 277

页数：7

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