This paper is published in Volume-7, Issue-3, 2021
Area
Image Processing
Author
Akanksha Raut, Pallavi Wankhede, Hrishikesh Dhole, Nidhi Dontulwar, Himanshu Bhole
Org/Univ
St. Vincent Palloti College of Engineering and Technology, Nagpur, Maharashtra, India
Pub. Date
29 June, 2021
Paper ID
V7I3-2149
Publisher
Keywords
Human Computer Interaction, Hand Gestures, Face Detection, Image Processing, Feature Extraction

Citationsacebook

IEEE
Akanksha Raut, Pallavi Wankhede, Hrishikesh Dhole, Nidhi Dontulwar, Himanshu Bhole. Survey on Discrete Gesture Recognition Techniques, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Akanksha Raut, Pallavi Wankhede, Hrishikesh Dhole, Nidhi Dontulwar, Himanshu Bhole (2021). Survey on Discrete Gesture Recognition Techniques. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Akanksha Raut, Pallavi Wankhede, Hrishikesh Dhole, Nidhi Dontulwar, Himanshu Bhole. "Survey on Discrete Gesture Recognition Techniques." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

In present circumstances, for Human- Computer Interaction the hand gesture technology is a more habitual and usable system. Programmed hand gesture recognition framework gives us another strategy to be interconnected with the virtual environment. Humans use genuine physical controllers like mouse, keyboard to interlink with the computer which forestalls regular interface due to solid hindrance. To perceive the hand gesture and act according to the user commands to control the application is the sole purpose of hand gestures. This paper explores late strategies utilized in vision based Human Computer Interaction. All the approaches discussed in this paper are calculated and classified based on the type of work done, applied algorithms and proofs and also resources utilized.