Design and Development of Hand Gesture based Communication Device for Deaf and Mute People

According to World Health Organization (WHO), the 5% of world’s population is disabled of speaking and hearing. That makes a large number of people who are deaf and mute in whole world and communications between deaf-mute and a normal person has always been a challenging task. We have developed a cheap, reliable and efficient device that would help deaf-mute people to work with other normal people efficiently towards the development of humanity. In this paper, 3-D accelerometer is used to detect the gesture of disable person and based on it customized database is generated which is processed through nodeMCU and Raspberry Pi and displayed the message on LCD screen. The Support Vector Classifier algorithm is used in proposed system. The experimental analysis gives comparison of proposed system with existing machine learning algorithm and shows that our system outperforms well in terms of translating complete sentence instead of single alphabet which resulted into increased accuracy of device.