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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 9, ISSUE 12, DECEMBER 2020

Gesture Language Glove

Harrison Keats, Benjamin Lindquist, Dean Aslam

DOI: 10.17148/IJARCCE.2020.91202

Abstract: Gesture language recognition is a technology that allows humans and animals to interact with computers and hardware without the need for any mechanical actuation between them. Gestures can include anything from facial expressions, head or eye movements, hand and arm motion, or other bodily movements and can therefore encompass a wide range of control for complicated systems. As sensor technology becomes smaller, cheaper and more readily available, gesture language recognition becomes a more viable solution for projects and systems to employ. This paper presents a prototype gesture language recognition system composed of hobby-grade electronics, compares it against systems using higher-grade hardware or more advanced software algorithms and extrapolates what further technological advancement will do for gesture language recognition systems.

Keywords: Gesture Language, MicroElectroMechanical Systems, Inertial Measurement Unit

How to Cite:

[1] Harrison Keats, Benjamin Lindquist, Dean Aslam, “Gesture Language Glove,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2020.91202