Fast Corner Detection in Augmented Reality Learning Management of the Corpse

50 out of 170 senior high school students do not understand the material of the corpse management practicum. This study aims to make it easier for students to understand better and remember caring for corpses in the classroom. A learning application for managing bodies made using Augmented Reality (...

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Main Authors: Undang, Syaripudin, Diena Rauda, Ramdania, Wine, Widiawaty, Wildan Budiawan, Zulfikar, Dian Sa'adillah, Maylawati
Format: Journal
Language:English
Published: Slovene Society Informatika 2021
Online Access:http://ur.aeu.edu.my/921/1/Fast%20Corner%20Detection%20in%20Augmented%20Reality%20Learning%20Management%20of%20the%20Corpse.pdf
http://ur.aeu.edu.my/921/
https://www.informatica.si/index.php/informatica/article/view/3580
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spelling my-aeu-eprints.9212022-02-14T08:34:42Z http://ur.aeu.edu.my/921/ Fast Corner Detection in Augmented Reality Learning Management of the Corpse Undang, Syaripudin Diena Rauda, Ramdania Wine, Widiawaty Wildan Budiawan, Zulfikar Dian Sa'adillah, Maylawati 50 out of 170 senior high school students do not understand the material of the corpse management practicum. This study aims to make it easier for students to understand better and remember caring for corpses in the classroom. A learning application for managing bodies made using Augmented Reality (AR) technology. The algorithm used is FAST Corner Detection. This algorithm's sequence is: resizing the image, changing the image to grayscale, smoothing the gray color (histogram), and determining the threshold as a determining point for the point marker. This application contains material on the procedures for bathing, bathing, praying, and burying the body. The FAST Corner Detection algorithm's performance takes 0.41 seconds to detect an object and can be done at a distance of 1 meter. The application also meets 82.8% of the user side's usability level, which indicates that this application is beneficial for learning. Interface testing gets a final score of 90.7%. This result suggests that the application is in outstanding criteria. Slovene Society Informatika 2021 Journal PeerReviewed text en http://ur.aeu.edu.my/921/1/Fast%20Corner%20Detection%20in%20Augmented%20Reality%20Learning%20Management%20of%20the%20Corpse.pdf Undang, Syaripudin and Diena Rauda, Ramdania and Wine, Widiawaty and Wildan Budiawan, Zulfikar and Dian Sa'adillah, Maylawati (2021) Fast Corner Detection in Augmented Reality Learning Management of the Corpse. Informatica (Slovenia), 45 (6). pp. 29-36. ISSN 03505596 https://www.informatica.si/index.php/informatica/article/view/3580
institution Asia e University
building AEU Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Asia e University
content_source AEU University Repository
url_provider http://ur.aeu.edu.my/
language English
description 50 out of 170 senior high school students do not understand the material of the corpse management practicum. This study aims to make it easier for students to understand better and remember caring for corpses in the classroom. A learning application for managing bodies made using Augmented Reality (AR) technology. The algorithm used is FAST Corner Detection. This algorithm's sequence is: resizing the image, changing the image to grayscale, smoothing the gray color (histogram), and determining the threshold as a determining point for the point marker. This application contains material on the procedures for bathing, bathing, praying, and burying the body. The FAST Corner Detection algorithm's performance takes 0.41 seconds to detect an object and can be done at a distance of 1 meter. The application also meets 82.8% of the user side's usability level, which indicates that this application is beneficial for learning. Interface testing gets a final score of 90.7%. This result suggests that the application is in outstanding criteria.
format Journal
author Undang, Syaripudin
Diena Rauda, Ramdania
Wine, Widiawaty
Wildan Budiawan, Zulfikar
Dian Sa'adillah, Maylawati
spellingShingle Undang, Syaripudin
Diena Rauda, Ramdania
Wine, Widiawaty
Wildan Budiawan, Zulfikar
Dian Sa'adillah, Maylawati
Fast Corner Detection in Augmented Reality Learning Management of the Corpse
author_facet Undang, Syaripudin
Diena Rauda, Ramdania
Wine, Widiawaty
Wildan Budiawan, Zulfikar
Dian Sa'adillah, Maylawati
author_sort Undang, Syaripudin
title Fast Corner Detection in Augmented Reality Learning Management of the Corpse
title_short Fast Corner Detection in Augmented Reality Learning Management of the Corpse
title_full Fast Corner Detection in Augmented Reality Learning Management of the Corpse
title_fullStr Fast Corner Detection in Augmented Reality Learning Management of the Corpse
title_full_unstemmed Fast Corner Detection in Augmented Reality Learning Management of the Corpse
title_sort fast corner detection in augmented reality learning management of the corpse
publisher Slovene Society Informatika
publishDate 2021
url http://ur.aeu.edu.my/921/1/Fast%20Corner%20Detection%20in%20Augmented%20Reality%20Learning%20Management%20of%20the%20Corpse.pdf
http://ur.aeu.edu.my/921/
https://www.informatica.si/index.php/informatica/article/view/3580
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score 13.211869