Real-Time Hand Gesture Recognition System

Abstract

A machine and a person can interact through hand gestures by using a hand gesture identification device. Real Time Hand Gesture Recognition (RTHGR) is discussed in this work in order to carry out system control actions as intended. With the help of this application, the user’s hand gestures may be detected by the webcam and basic actions can be taken as a result. The user must make a distinct gesture. The webcam records this, recognizing the gesture and carrying out the action in accordance with a list of recognized gestures. This process requires a binary threshold value to recognize gestures. A neural network is employed in the proposed classification process. The effectiveness of this technique for operating various systems will be assessed, and other hand recognition techniques will be compared.