Human Computer Interaction Using Hand Gestures

Human Computer Interaction Using Hand Gestures

N. Praveen, M. Alekhya, G. Akshit, M. Yellamma

Abstract—The need for interaction is growing. Hand gesture recognition is widely used in controlling devices and computers in different fields like in the automobile industry, and the marketing industry where like in big presentations people every time cannot go to the keyboard or a mouse and change to the next slide the similar happens in different fields. The purpose of this project is to learn hand gestures so that you can follow these gestures to draw or write on your computer screen. To do this, use the "Hand Recognition" module together with the "Open CV" module. Building information transmission and device control systems using gesture recognition technology. Differences in lighting, lack of consistent background, variability in user hand sizes and shapes, and high similarity of hand gesture poses between classes are major obstacles to creating effective hand gesture recognition algorithms. Real-time recognition of the range of recognized hand gestures. Research shows an accuracy of 97.3%.

Keywords— Hand Gesture recognition technology, Tracking, and Identification Using convolution Neural Networks A system that classifies and measures the popularity of gestures helps translate gestures.