Survey paper on Hand Gesture Recognition

Authors

  • Ms. Hardi Desai Department of Computer Engineering, PIET Vadodara
  • Mr. Yask Patel Department of Information Technology, PIET Vadodara

Keywords:

Hand Gesture recognition, Human Computer Interaction, Segmentation techniques, Classification techniques

Abstract

Now–a-days, computer become more extensive in society, facilitating natural human-computer interaction
(HCI) will have a positive impact on their use. Till now human can interact with computer through input devices like
mouse and keyboard or technologies like Graphical User Interface, Command Line Interface, touch user interface,
motion tracking interface. Gesture recognition system could be used for improving human-machine interaction, this will
allow a human user to communicate non- verbally using different body parts like finger, hand, face, eye, arm, palm etc.
Hand gesture recognition approach works on the three main phases i.e. object detection, tracking of object, and gesture
recognition. Each phases have different techniques which has its own benefits and limitations. In this survey paper
different hand gesture recognition methods and issues are explained.

Published

2016-01-25

How to Cite

Ms. Hardi Desai, & Mr. Yask Patel. (2016). Survey paper on Hand Gesture Recognition. International Journal of Advance Engineering and Research Development (IJAERD), 3(1), 256–262. Retrieved from https://ijaerd.org/index.php/IJAERD/article/view/1642