Cost Effective Portable System for Sign Language Gesture Recognition

被引：0

作者：

Khambaty, Yousuf ^{[1
,2
]}

Quintana, Rolando ^{[2
]}

Shadaram, Mehdi ^{[1
,2
]}

Nehal, Sana ^{[3
]}

Virk, Muneeb Ali ^{[3
]}

Ahmed, Waqar ^{[3
]}

Ahmedani, Ghayas ^{[3
]}

机构：

[1] Univ Texas San Antonio, Dept Elect & Comp Engn, San Antonio, TX 78249 USA

[2] Univ Texas San Antonio, Dept Management Sci & Stat, San Antonio, TX 78249 USA

[3] Sir Syed Univ, Electron Engn Dept, Karachi, Pakistan

来源：

2008 IEEE INTERNATIONAL CONFERENCE ON SYSTEM OF SYSTEMS ENGINEERING (SOSE) | 2008年

关键词：

Gesture Recognition; Data Glove; GesTALK; Pattern Recognition; Voice Synthesizer; Portable Device; American Sign Language; Pakistan Sign Language (PSL); Hearing Impaired;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper presents a standalone system that converts static gestures into voice. It is also known as GesTALK. The primary input device is the self design and cost effective Data Glove. It operates in two basic modes. In first mode the system speaks a single alphabet for a static gestures made by the user, while in second mode the system speaks complete string by concatenating words. Various gestures of alphabets are made to spell out the words involved in string. This system has been shown to work-for both American Sign Language (ASL) and Pakistan Sign Language (PSL) and other language models. Results show that the system recognizes 24 out of 26 letters; an overall accuracy of 90% is achieved.

引用

页码：105 / +

页数：2

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