DocumentCode :
3588376
Title :
Assistive glove for Pakistani Sign Language translation
Author :
Kanwal, Kehkashan ; Abdullah, Saad ; Binte Ahmed, Yusra ; Saher, Yusra ; Jafri, Ali Raza
Author_Institution :
Dept. of Biomed. Eng., NED Univ. of Eng. & Technol., Karachi, Pakistan
fYear :
2014
Firstpage :
173
Lastpage :
176
Abstract :
This paper presents system to translate gestures of Urdu Sign language using an instrumented wearable glove. This system contributes first ever attempt in terms of fabrication of Pakistani Sign Language translating glove which is portable as well as cost effective. As the sensor values from the glove vary from person to person, this system was made to use pattern recognition approach. In order to accomplish the task, Principal Component Analysis (PCA) was employed for feature extraction and Euclidean distance as classification technique. Up till now the system has ten static gestures in its library and it perfectly judges nine gestures out of targeted ten gestures which are commonly used in Urdu Sign language.
Keywords :
data gloves; feature extraction; handicapped aids; image classification; language translation; natural language processing; principal component analysis; sign language recognition; wearable computers; Euclidean distance; PCA; Pakistani sign language translation; Urdu sign language; assistive glove; classification technique; feature extraction; gestures translation; instrumented wearable glove; pattern recognition approach; principal component analysis; sensor values; static gestures; Calibration; Delays; Image recognition; Euclidean Distance; Instrumented glove; Pattern Recognition; Principal component Analysis; Urdu sign language;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multi-Topic Conference (INMIC), 2014 IEEE 17th International
Print_ISBN :
978-1-4799-5754-5
Type :
conf
DOI :
10.1109/INMIC.2014.7097332
Filename :
7097332
Link To Document :
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