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Sign language is used by speech and hearing-impaired persons to convey their message to other people. Often this sign language is not understood by everyone, which produces a communication gap. To bridge this gap, smart gloves are introduced. The system is based on sensor gloves which convert the sign language to speech. The gloves read the motion and orientation of both hands through Accelerometer and Flex sensors sewed within. All the sensor data are processed and multiplexed wirelessly through Bluetooth. When no sign is made, the system has the capability to switch to its sleeping mode which enables it to save the power. The system design uses a simple algorithm that directly maps gestures via lookup process, thus avoiding complex computations. The aim is to develop a portable, reliable and an inexpensive system. Therefore, the system uses less expensive electronics which are easily available in the local market, making the system affordable for everyone. In this proposed work the Arduino microcontroller, accelerometer, and Bluetooth are used. Two main contributions are presented in this work. Firstly, it is shown that the wheel chair can be controlled with hand-gestures according to the movement and position of the hand. Secondly, the proposed wheel chair

Design and Implementation of Sign Language Interpretation System and Wireless Enabled Wheel Chair