Gesture Recognizing using Naïve Bayes Algorithm and a Leap Motion

Daniel Pamungkas, Sonny Hendratmo

2021

Abstract

This article presents the methods to recognize poses of the hand. The Naïve Bayes algorithm is used to identify four gestures. These gestures are applying in a customized game. The leap motion as a gesture sensor is utilized in this study. Five subjects are performing the attempt after the training their gestures data. Roll left, roll right, and palm face down are the gestures to be trained and tested in this study. The experiment results show that this system enabled to read the poses of the user’s hands. To demonstrate the abilty of the proposed method, a customized game is created. Moreover, the users enable to play a game with no difficulty.

Paper Citation

in Harvard Style

Pamungkas D. and Hendratmo S. (2021). Gesture Recognizing using Naïve Bayes Algorithm and a Leap Motion. In Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES, ISBN 978-989-758-615-6, pages 664-667. DOI: 10.5220/0010950700003260

in Bibtex Style

@conference{icast-es21,
author={Daniel Pamungkas and Sonny Hendratmo},
title={Gesture Recognizing using Naïve Bayes Algorithm and a Leap Motion},
booktitle={Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,},
year={2021},
pages={664-667},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010950700003260},
isbn={978-989-758-615-6},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 4th International Conference on Applied Science and Technology on Engineering Science - Volume 1: iCAST-ES,
TI - Gesture Recognizing using Naïve Bayes Algorithm and a Leap Motion
SN - 978-989-758-615-6
AU - Pamungkas D.
AU - Hendratmo S.
PY - 2021
SP - 664
EP - 667
DO - 10.5220/0010950700003260