Training Various Gestures for Recognition Using Neural Network Algorithms

Identification of gesture is very important for specially challenged people and also to improve the smartness of the working environment i.e. using the hand gesture the presentation slides can move on its own. Also helps for deaf and dumb people to express their vision and enhance their lifestyles. It not only involves hand gesture we also concentrate on body language and posture. Gesture Recognition using Machine Learning is an unrecognized concept despite the fact that there is a large group that may benefit from it. Engineers must innovate to bridge the gap for people with disabilities, focusing on technologies like gesture comprehension to enhance their connectivity to normal life. Separation of images and machine learning often helps computers recognize gesture, which may be understood by others. The purpose of this paper is to help deaf people and ordinary people to communicate with one another using gesture recognition technology