This paper is published in Volume-4, Issue-5, 2018
Area
Chennai
Author
S Sai Prashanth, V Srimaan, Venkat Rohit
Org/Univ
SRM Institute of Science and Technology, Chennai, Tamil Nadu, India
Pub. Date
31 October, 2018
Paper ID
V4I5-1500
Publisher
Keywords
Hand posture, Hand gesture, Human Computer Interaction (HCI), Segmentation, Feature extraction, Classification tools, Neural networks

Citationsacebook

IEEE
S Sai Prashanth, V Srimaan, Venkat Rohit. Gesture recognition robot, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
S Sai Prashanth, V Srimaan, Venkat Rohit (2018). Gesture recognition robot. International Journal of Advance Research, Ideas and Innovations in Technology, 4(5) www.IJARIIT.com.

MLA
S Sai Prashanth, V Srimaan, Venkat Rohit. "Gesture recognition robot." International Journal of Advance Research, Ideas and Innovations in Technology 4.5 (2018). www.IJARIIT.com.

Abstract

Hand gesture recognition system received great attention in the recent few years because of its manifoldness applications and the ability to interact with machine efficiently through human computer interaction. In this paper a survey of recent hand gesture recognition systems is presented. Key issues of hand gesture recognition system are presented with challenges of gesture system. Review methods of recent postures and gestures recognition system presented as well. Summary of research results of hand gesture methods, databases, and comparison between main gesture recognition phases are also given. Advantages and drawbacks of the discussed systems are explained finally.