An in-Depth Survey on Online Shopping Through Gesture Recognition Using Deep Learning

Abstract

The recent advances in communication capabilities and the proliferation of electronic devices has been effective in improving the online landscape by a large margin. There has been introduction of innovative utilizations of the internet platform in the field of shopping has led to the development and success of ecommerce websites. These websites allow an individual to make purchases from the comfort of their homes. This is incredibly useful and highly convenient practice that makes shopping an easier and highly rewarding experience online. But the problem with these applications is the lack of an effective accessibility features that allow for the disabled people to do shopping. Therefore, there is a need for an approach that can provide the effective interaction and navigation of the e-commerce websites through the use of gestures. For this purpose the computer vision approach is being utilized to capture the gesture and allow for navigating the shopping application through the use of gestures. The presented approach achieves effective gesture based shopping through the implementation of Convolutional Neural networks. This methodology will be elaborated in the upcoming editions of this research article.