Face Authenticated Hand Gesture Based Human Computer Interaction for Desktops

Author:

Mukthineni Venkat1,Mukthineni Rahul2,Sharma Onkar1,Narayanan Swathi Jamjala1

Affiliation:

1. School of computer science and Engineering, Vellore Institute of Technology , Vellore - 632014 , India

2. School of information technology and Engineering, Vellore Institute of Technology , Vellore - 632014 , India

Abstract

Abstract Hand gesture detection and recognition is a cutting-edge technology that is getting progressively applicable in several applications, including the recent trends namely Virtual Reality and Augmented Reality. It is a key part of Human-Computer Interaction which gives an approach to two-way interaction between the computer and the user. Currently, this technology is limited to expensive and highly specialized equipment and gadgets such as Kinect and the Oculus Rift. In this paper, various technologies and methodologies of implementing a gesture detection and recognition system are discussed. The paper also includes the implementation of a face recognition module using the Viola-Jones Algorithm for authentication of the system followed by hand gesture recognition using CNN to perform basic operations on the laptop. Any type of user can use gesture control as an alternative and interesting way to control their laptop. Furthermore, this can be used as a prototype for future implementations in the field of virtual reality as well as augmented reality.

Publisher

Walter de Gruyter GmbH

Subject

General Computer Science

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