Sign Language Recognition Using Leap Motion A Support Vector Machine Approach

被引：4

作者：

Quesada, Luis ^{[1
]}

Lopez, Gustavo ^{[2
]}

Guerrero, Luis A. ^{[1
,2
]}

机构：

[1] Univ Costa Rica, Escuela Ciencias Comp & Informat, San Pedro, Costa Rica

[2] Univ Costa Rica, Ctr Invest Tecnol Informac & Comunicac, San Pedro, Costa Rica

来源：

UBIQUITOUS COMPUTING AND AMBIENT INTELLIGENCE: SENSING, PROCESSING, AND USING ENVIRONMENTAL INFORMATION | 2015年 / 9454卷

关键词：

American Sign Language; Leap Motion; Support Vector Machine; Automatic sign language recognition;

D O I：

10.1007/978-3-319-26401-1_26

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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.

引用

页码：277 / 288

页数：12

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