Gesture Recognition-Reference-Cited by-同舟云学术

Gesture Recognition

Published:2017 Issue: Volume: Page:191-209
ISSN:2327-929X
Container-title:Emerging Technologies and Applications for Cloud-Based Gaming
language:
Short-container-title:

Author:

Kesavan Nandhini¹,N. R. Raajan¹

Affiliation:

1. SASTRA University, India

Abstract

The main objective of gesture recognition is to promote the technology behind the automation of registered gesture with a fusion of multidimensional data in a versatile manner. To achieve this goal, computers should be able to visually recognize hand gestures from video input. However, vision-based hand tracking and gesture recognition is an extremely challenging problem due to the complexity of hand gestures, which are rich in diversities due to high degrees of freedom involved by the human hand. This would make the world a better place with for the commons not only to live in, but also to communicate with ease. This research work would serve as a pharos to researchers in the field of smart vision and would immensely help the society in a versatile manner.

Publisher

IGI Global

Reference29 articles.

1. Akl, A. (2010). A Novel Accelerometer-based Gesture Recognition System. (Master of Applied Science thesis). University of Toronto.

2. Bamanikar, Ursal, & Jadhav. (n.d.). Hand Gestures Recognition Based On Vision. ASM’s International E-Journal of Ongoing Research in Management and IT.

3. Finger Mouse And Gesture Recognition System As A New Human Computer Interface.;K.Byong;Computer Graphics,1998

4. Hand Gesture Recognition: A Comparative Study;P.Chakraborty;Proceedings of the International Multi Conference of Engineers and Computer Scientists 2008

5. Hand gesture recognition using a real-time tracking method and hidden Markov models. Image and Vision Computing, 21, 745–758;F.-S.Chen,2003