HAND GESTURE CONTROLLER

HAND GESTURE CONTROLLER

Prathamesh Bhumkar1, Rutwik Alange2, Shon Kashid 3, Yash Hirekurbaru 4

Prof. Rahul Naware5

1, 2, 3, 4 (Students, Department of Computer Engineering, Zeal College of Engineering and Research, Pune, Maharashtra)

 5(Professor, Department of Computer Engineering, Zeal College of Engineering and Research, Pune,)

Abstract: In this paper we present an interaction between humans and computer, gesture recognition does play a critical role. While technology has developed to such a level it made possible to communicate with computers with the Gesture Recognition system. Having reached all the best possible ways for data acquisition like cameras, hand Movement now these are of less concern. The desire for human-machine interaction is rapidly growing due to advancements in computer vision technology. Gesture recognition is used extensively in many different types of fields. It indicates that research into vision-based hand gesture recognition is an expanding field, with many studies and papers appearing on a regular basis in research publications and conference papers. Our study further assesses the accuracy with which vision-based recognition of hand gestures systems work. The three primary phases are hand shape recognition, hand tracing, and data transformation to the required command.

Keywords— Deep Learning, CNN-Convolutional Neural Networks, Hand Gesture Controller, Human-Computer interaction