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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Dynamic Hand Gesture to Text using Leap Motion

Author 1: Nur Aliah Nadzirah Jamaludin
Author 2: Ong Huey Fang

Full Text

Digital Object Identifier (DOI) : 10.14569/IJACSA.2019.0101127

Article Published in International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 11, 2019.

  • Abstract and Keywords
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Abstract: This paper presents a prototype for converting dynamic hand gestures to text by using a device called Leap Motion. It is one of the motion tracking technologies, which could be used for recognising hand gestures without the need of wearing any external devices or capturing any images and videos. In this study, five custom dynamic hand gestures of American Sign Language were created with Leap Motion to measure the recognition accuracy of the proposed prototype using the Geometric Template Matching, Artificial Neural Network, and Cross-Correlation algorithms. The experimental results showed that the prototype achieved recognition accuracy of more than 90% in the training phase and about 60% in the testing phase.

Keywords: Dynamic hand gesture; leap motion; American sign language; artificial neural network; cross-correlation; geometric template matching

Nur Aliah Nadzirah Jamaludin and Ong Huey Fang, “Dynamic Hand Gesture to Text using Leap Motion” International Journal of Advanced Computer Science and Applications(IJACSA), 10(11), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101127

@article{Jamaludin2019,
title = {Dynamic Hand Gesture to Text using Leap Motion},
journal = {International Journal of Advanced Computer Science and Applications}
doi = {10.14569/IJACSA.2019.0101127},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101127},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {11},
author = {Nur Aliah Nadzirah Jamaludin and Ong Huey Fang},
}


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