ADVANCED GESTURE RECOGINTION SYSTEM USING DEEP LEARNING









Abstract

Gesture Recognition is an alternative user interface for providing real-time data to a computer. This project focuses on a communication system that translates text and speech between vocally impaired people and the rest of society in English. The system can recognize a hand-in sign representation of normal alphabets. In this paper, we used OpenCV to train and recognize gestures using a webcam and deep learning algorithms. The system has a high efficiency and output compatibility termini different articles related to hand gesture recognition field including the horoscopic 3D imaging system, depth, different techniques and applications. All determined articles will be used for the literature review. Keywords: Gesture Recognition, Deep learning, CNN.


Modules


Algorithms


Software And Hardware

• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL