Pakistan Sign Language Recognition Using Statistical Template Matching

被引：0

作者：

Alvi, Aleem Khalid ^{[1
]}

Bin Azhar, M. Yousuf ^{[1
]}

Usman, Mehmood ^{[1
]}

Mumtaz, Suleman ^{[1
]}

Rafiq, Sameer ^{[1
]}

Rehman, Razi Ur ^{[1
]}

Ahmed, Israr ^{[1
]}

机构：

[1] Sir Syed Univ Engn & Technol, Karachi, Pakistan

来源：

PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 3 | 2005年 / 3卷

关键词：

Gesture Recognition; Pakistan Sign Language; Data Glove; Human Computer Interaction; Template Matching; Boltay Haath;

D O I：

暂无

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Sign language recognition has been a topic of research since the first data glove was developed. Many researchers have attempted to recognize sign language through various techniques. However none of them have ventured into the area of Pakistan Sign Language (PSL). The Boltay Haath project aims at recognizing PSL gestures using Statistical Template Matching. The primary input device is the DataGlove5 developed by 5DT. Alternative approaches use camera-based recognition which, being sensitive to environmental changes are not always a good choice. This paper explains the use of Statistical Template Matching for gesture recognition in Boltay Haath. The system recognizes one handed alphabet signs from PSL.

引用

页码：52 / 55

页数：4