This paper is published in Volume-7, Issue-3, 2021
Area
Computer Engineering
Author
Aman Khan, Nafisa Mapari, Ramiz Ur Rahman Khan, Ayaz Idrisi, Mohd Umar Khan
Org/Univ
Mumbai University, Mumbai, Maharashtra, India
Pub. Date
26 May, 2021
Paper ID
V7I3-1447
Publisher
Keywords
Human-Computer Interaction (HCI), PTM, VGC

Citationsacebook

IEEE
Aman Khan, Nafisa Mapari, Ramiz Ur Rahman Khan, Ayaz Idrisi, Mohd Umar Khan. Palm detection and tracking project, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Aman Khan, Nafisa Mapari, Ramiz Ur Rahman Khan, Ayaz Idrisi, Mohd Umar Khan (2021). Palm detection and tracking project. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Aman Khan, Nafisa Mapari, Ramiz Ur Rahman Khan, Ayaz Idrisi, Mohd Umar Khan. "Palm detection and tracking project." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

Hand gesture recognition is a technology that is becoming increasingly relevant, given the recent growth and popularity of Virtual and Augmented Reality technologies. It is one key aspect of HCI, allowing for two-way interaction in virtual spaces. However, many instances of such interaction are currently limited to specialized uses or more expensive devices such as the Kinect and the Oculus Rift. In this paper, we explore the methods for hand gesture recognition using a more common device – the laptop web camera. Specifically, we explore and test methods of segmenting the hand. We will also cover one method for hand gesture recognition.