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Face Authenticated Hand Gesture Based Human Computer Interaction for Desktops Cover

Face Authenticated Hand Gesture Based Human Computer Interaction for Desktops

Open Access
|Dec 2020

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.

DOI: https://doi.org/10.2478/cait-2020-0048 | Journal eISSN: 1314-4081 | Journal ISSN: 1311-9702
Language: English
Page range: 74 - 89
Submitted on: Apr 23, 2020
Accepted on: Oct 16, 2020
Published on: Dec 10, 2020
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Venkat Mukthineni, Rahul Mukthineni, Onkar Sharma, Swathi Jamjala Narayanan, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.