The result is shown on the LCD display of the glove. When the hand is moved, letter and word will be detected according to valid movement. As a consequence, the output will be displayed on mobile and LCD display. | International Journal of Computer Networks and Communications Security VOL. 5, NO. 2, FEBRUARY 2017, 38–48 Available online at: E-ISSN 2308-9830 (Online) / ISSN 2410-0595 (Print) Flex Sensor Based Hand Glove for Deaf and Mute People ABDULLAH AL MAMUN1, MD SARWAR JAHAN KHAN POLASH2 and FAKIR MASHUQUE ALAMGIR3 1, 2 3 Student of Electrical and Electronic Engineering, East West University, Bangladesh, Dhaka Faculty of Electrical and Electronic Engineering, East West University, Bangladesh, Dhaka 1 amamun860@, 2sarwar2868@, 3mashukalamgir@ ABSTRACT Sign language is the only way to communicate for listening and talking with disabled people. Approximately 10% of deaf people use sign language as their first language [1]. We design a hand glove that will make the sign language understandable to all. An android mobile phone app is used to receive a voice which will convert it to speech and send it to the hand glove through wireless communication system. The result is shown on the LCD display of the glove. When the hand is moved, letter and word will be detected according to valid movement. As a consequence, the output will be displayed on mobile and LCD display. Keywords: Sign Language, Dump, Deaf, ASL, Text to Speech. 1 INTRODUCTION Among various ideas, but we selected a project that will help a group of people who are unable to listen and speak like as common people. This project helps those peoples to easily communicate with the common people. This project is not only just a scientific approach, but also introduces a prototype that can be applied in reality. It is really so hard for normal people to understand what deaf and mute people want to say. Normal people do not understand what they are saying. For their deafness, they are almost ignored in our society. But we believe they can contribute to our society. We try to solve this problem for deaf and mute peoples. Our project is to convert finger movement into displaying .
