Assistive system for physically disabled people using gesture recognition

A nonverbal communication involves movements of different body parts to communicate a particular message. Hand, face and lips movements or other movement of body parts are regarded as gesture. In this paper we have proposed a method based on hand gesture recognition to recognize the different gesture used by deaf person to communicate using scale-invariant feature transform (SFIT) algorithm. This will make a bridge between deaf and dumb people and normal public. In earlier system the uses of colour markers and gloves for gesture recognition has been used but it resulted in delay in processing time and sometimes inconvenient for the user. This system will focus on hand gesture recognition and development of human computer interface (HCI) system which will achieve accuracy, real time implementation of gesture processing and reduced processing time.