Sign language is the most important methodology using which hearing and speech impairedpeople can interact with the rest of the world. Conversation with hearing impaired individuals getscomplicated if the listener is ignorant of sign language. Hence it becomes important to construct a bridgebetween these two banks. Generally deaf and dumb people use sign language for communication but theyfind difficulty in communicating with others who don't understand sign language. This paper aims to givebidirectional communication between mute people and normal people. It is based on the need ofdeveloping an electronic device that can translate sign language into speech as well as speech into text inorder to make the communication take place between the mute communities with the general publicpossible. Wireless data is sent using ZigBee from MEMS sensors along the length of each finger and thethumb. Mute people can use the sensor to make hand gestures and the signal is communicated to androidmobile and it will be converted into speech on the mobile. So that normal people can understand their signlanguage. The normal person having an android mobile app which is includes speech recognition systemwhich is converted into the text format and send it to the electronic hand glove device subsequently it isdisplayed as a text what they are spoken. © 2017 Elsevier B.V., All rights reserved.