Sign Language Recognition using a Smart Hand Device with Sensor Combination

Abstract

Communication is primary means of sharing information. For the deaf and dumb, sign language is their means of sharing information. A lay man finds sign language hard to decipher. Hence we propose a hand glove with combination of flex and three axis accelerometer sensors which is to be worn by the deaf and dumb while communicating with the rest of the world. The data collected using the sensors are matched with predetermined values using the technique of template matching using ARM LPC2148. The data that is accessed is then sent to an android app using a wifi module. Here in this system we focus on ASL alphabets. The data that is sent to the Android app is displayed on the screen and a voice output for each character is played.