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International Journal of Advanced Research in Computer and Communication Engineering A monthly Peer-reviewed & Refereed journal
ISSN Online 2278-1021ISSN Print 2319-5940Since 2012
IJARCCE adheres to the suggestive parameters outlined by the University Grants Commission (UGC) for peer-reviewed journals, upholding high standards of research quality, ethical publishing, and academic excellence.
← Back to VOLUME 11, ISSUE 5, MAY 2022

HAND GESTURE RECOGNITION USING OPENCV AND PYTHON

Dr. C. Sunitha, M. Krishna priya, R. Sanjana

DOI: 10.17148/IJARCCE.2022.115134

Abstract: Hand gesture recognition systems have advanced rapidly in recent years, owing to their capacity to successfully collaborate with machines. In a virtual environment, gestures are seen to be the most natural way for humans and computers to communicate. We frequently use hand gestures to convey information because they are a form of nonverbal communication that allows us to express ourselves freely. To extract the hand region in our system, we employed background subtraction. Our PC's camera records a live video, from which a preview is taken with the assistance of its functionalities or activities.

Keywords: Gesture recognition, OpenCV, human-computer interaction, python, machine learning.

How to Cite:

[1] Dr. C. Sunitha, M. Krishna priya, R. Sanjana, “HAND GESTURE RECOGNITION USING OPENCV AND PYTHON,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2022.115134