<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></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.

Face Authenticated Hand Gesture Based Human Computer Interaction for Desktops

Cybernetics and Information Technologies

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Face Authenticated Hand Gesture Based Human Computer Interaction for Desktops"}

Hand gesture detection and recognition is a cutting-edge technology that is getting progressively applicable in several applications, including the recent...

Face Authenticated Hand Gesture Based Human Computer Interaction for Desktops

Publicado en línea: 10 dic 2020

Páginas: 74 - 89

Recibido: 23 abr 2020

Aceptado: 16 oct 2020

DOI: https://doi.org/10.2478/cait-2020-0048

Palabras clave
Gesture recognition, gesture detection, human-computer interaction, Haar-cascade, convolution neural network, Viola-Jones Algorithm, ReLU activation, convolutional layer, max-pooling, k-Gaussian distribution

© 2020 Venkat Mukthineni et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Face Authenticated Hand Gesture Based Human Computer Interaction for Desktops

Publicado en línea: 10 dic 2020

Páginas: 74 - 89

Recibido: 23 abr 2020

Aceptado: 16 oct 2020

DOI: https://doi.org/10.2478/cait-2020-0048

Palabras claveGesture recognition, gesture detection, human-computer interaction, Haar-cascade, convolution neural network, Viola-Jones Algorithm, ReLU activation, convolutional layer, max-pooling, k-Gaussian distribution

© 2020 Venkat Mukthineni et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Palabras clave
Gesture recognition, gesture detection, human-computer interaction, Haar-cascade, convolution neural network, Viola-Jones Algorithm, ReLU activation, convolutional layer, max-pooling, k-Gaussian distribution