Vision-Based Real-Time Human–Computer Interaction on Hand Gesture Recognition

Abstract

Gesture recognition technology has evolved greatly over the years. It is a field in language innovation and development with the aim of deciphering human motions by the use of certain algorithms. In this age of technology, we have fabricated boundless techniques and subsequently seen their drawbacks making us aware of our own limits in terms of speed and naturalness of the human body. The intellect and inventiveness of human beings have led to the development of many tools, gesture recognition technology being one of them. They help us extend the capabilities of our senses by combining natural gestures to operate technology, thereby reducing human efforts and going beyond human abilities. Gestures can be viewed as a route for PCs to start to comprehend human non-verbal communication, in this manner fabricating a more extravagant extension among machines and people than crude content UIs or GUIs, which still breaking point most of contribution to console and mouse and connect normally with no mechanical gadgets. Utilizing the idea of motion acknowledgment, it is conceivable to point a finger now will move as needs be. With the expeditious inventions of three-dimensional applications and the upcoming hype of virtual environments in systems, there is a need of new devices that can sustain these interactions. The advancement of user interface molds and develops the human-computer interaction (HCI). The paper aims to present a review of vision-based hand gesture recognition techniques for HCI and using it to tally finger count using the same.