Learning object for education with AR and hand gesture recognition

Sean Senn, Pow Chiok (2019) Learning object for education with AR and hand gesture recognition. Faculty of Computer System & Software Engineering, Universiti Malaysia Pahang.

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DOI/Official URL: http://fypro.ump.edu.my/ethesis/index.php

Abstract

Augmented Reality (AR) allows us to interact with the world and unlocking information and experiences by simply pointing our smartphone at any image, object or location. Over the past several years, AR applications becoming more popular and widely available in the smartphones. This project will show the implementation of gesture recognition to Augmented Reality to help improve the current AR technologies to interact with the realworld motion such as hand movements. This enable the users to make use of Augmented Reality to learn and explore in a different way. By implementing gesture recognition to Augmented Reality, the education method can become interesting and learn better using 3-D objects because it is visualized and the user able to interact with the objects. The project is build using Unity 3D and developed based on ManoMotion SDK. The methodology used in this application development is Rapid Application Development model.

Item Type:	Undergraduates Project Papers
Additional Information:	Project Paper (Bachelors of Computer Science (Software Engineering)) -- Universiti Malaysia Pahang – 2019, SV: DR. ABDULRAHMAN AHMED MOHAMMED AL-SEWARI, e-Thesis
Uncontrolled Keywords:	Augmented Reality (AR); gesture recognition; 3-D objects
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Q Science > QA Mathematics > QA76 Computer software
Faculty/Division:	Faculty of Computer System And Software Engineering
Depositing User:	Mrs. Sufarini Mohd Sudin
Date Deposited:	16 Dec 2019 08:52
Last Modified:	17 Dec 2019 03:26
URI:	http://umpir.ump.edu.my/id/eprint/26958
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