Glove Based Deaf-Dumb Sign Language Interpreter

Communication between the deaf and the common man has always been challenging. Most people in the world who fall into this category are often overlooked by ordinary people. As deaf people they use sign language to communicate in a way that is difficult for ordinary people to understand. To overcome the communication gap with outside world a microprocessor-based Sign Language Interpreter is employed to handle data transfer operations. A Raspberry Pi based microprocessor is used as a compact microcomputer designed to govern the operation of six axis MPU6050., used for the detection of sign language. A triaxial accelerometer is used to detect the tilt of the hand. The flex sensor module is interfaced with the microprocessor through MCP3008 which is an external analog-to-digital converter. The decision making for sending message based on the data received from the MPU6050 and MPU3008. The proposed system is able to convert the different signs into the text and voice message. It is trained for the different symbols and works effecrivcly.