HAND GESTURE RECOGNITION USING NEURAL NETWORKS

Abstract

Today's technologies are beginning to focus on gesture recognition.The major goal of this project is to develop mathematical algorithms for human-computer interaction that can identify human gestures.There are just a few ways to interact with computers; they include using a keyboard, mouse, touch screen, etc.When it comes to integrating more adaptable technology in computers, each of these devices has specific constraints.Building user-friendly interfaces requires a variety of approaches, one of which is gesture detection.Gestures can often come from any body movement or state, however they are most often made with the hand or the face.Users may interact with the devices without actually touching them thanks to gesture detection.This research describes the training of hand gestures to carry out certain tasks, such as recognising particular motions.