Assistive glove for Pakistani Sign Language translation

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.