GESTURE RECOGNITION -AI

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Dr.Karunaiah
Polamoni Akhil Kumar
P.Shyamala
Katamoni Lokesh
Chiluveru Sreeja

Abstract

With the emergence of digital pen and paper interfaces, there is a need for gesture recognition tools for digital pen input.
While there exists a variety of gesture recognition frameworks, none of them addresses the issues of support- ing application
developers as well as the designers of new recognition algorithms and, at the same time, can be inte- grated with new forms of
input devices such as digital pens. We introduce iGesture, a Java-based gesture recognition framework focusing on
extensibility and cross-application reusability by providing an integrated solution that includes tools for gesture recognition as
well as the creation and management of gesture sets for the evaluation and optimi- sation of new or existing gesture
recognition algorithms. In addition to traditional screen-based interaction, iGesture provides a digital pen and paper
interface.

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How to Cite
GESTURE RECOGNITION -AI. (2025). Scientific Digest : Journal of Applied Engineering, 13(3), 60-65. https://www.joae.org/index.php/JOAE/article/view/81
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Articles

How to Cite

GESTURE RECOGNITION -AI. (2025). Scientific Digest : Journal of Applied Engineering, 13(3), 60-65. https://www.joae.org/index.php/JOAE/article/view/81

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