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Mohammed Daaniyaal
BMS Institute of Technology
Computer Science & IT Engineering

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Hand gesture recognition using machine learning algorithms Abhishek B.; Kanya Krishi; Meghana M.; Mohammed Daaniyaal; Anupama H. S.
Computer Science and Information Technologies Vol 1, No 3: November 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/csit.v1i3.p116-120

Abstract

Gesture recognition is an emerging topic in today’s technologies. The main focus of this is to recognize the human gestures using mathematical algorithms for human computer interaction. Only a few modes of Human-Computer Interaction exist, they are: through keyboard, mouse, touch screens etc. Each of these devices has their own limitations when it comes to adapting more versatile hardware in computers. Gesture recognition is one of the essential techniques to build user-friendly interfaces. Usually gestures can be originated from any bodily motion or state, but commonly originate from the face or hand. Gesture recognition enables users to interact with the devices without physically touching them. This paper describes how hand gestures are trained to perform certain actions like switching pages, scrolling up or down in a page.
Co-Authors Abhishek B. Anupama H. S. Kanya Krishi Meghana M.