Hand Gesture Recognition Application for Physically Disabled People

In the Proposed model, a communication system which converts signal languages, used by Dumb people, Quadriplegia and paraplegia are disabilities that result from injuries to the spinal cord and neuromuscular disorders into speech. It is done based on a narrative hand gesture recognition technique. The solution approach consists a hardware module and software module. In hardware module- The gesture recognition is done with the help of a sensor glove which consists of 5 accelerometer sensors, a microcontroller and that are best positioned in fingers upon analysis of American Sign Language Signs. The design of glove and the concept of decoding gestures by considering the axis orientation with respect to gravity and the corresponding voltage levels, are discussed. The accelerations of a hand motion in three perpendicular directions are detected by accelerometers and acceleration values were transmitted to microcontroller. An automatic gesture recognition algorithm is developed to identify individual gestures in a sequence. As a final point, the gesture is recognized by comparing the acceleration values with the stored templates. According to recognized gesture, respective commands are played through speaker using voice chip.