Recognition of Hand Gestures Using Image with Histogram Feature Extraction and Euclidean Distance Classification Method

Human-Computer Interaction technology allows humans to communicate with computers using natural language such as gestures. One of the gestures used by humans to communicate is hand gestures. In this research, hand gestures are recognized using images that represent pitch, roll, and yaw movement. As...

Full description

Saved in:
Bibliographic Details
Main Authors: Yenni Astuti, Sudaryanto Sudaryanto, Indah Dwi Ariyanti
Format: Article
Language:English
Published: Institut Teknologi Dirgantara Adisutjipto 2024-12-01
Series:Compiler
Subjects:
Online Access:https://ejournals.itda.ac.id/index.php/compiler/article/view/2640
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832557726155145216
author Yenni Astuti
Sudaryanto Sudaryanto
Indah Dwi Ariyanti
author_facet Yenni Astuti
Sudaryanto Sudaryanto
Indah Dwi Ariyanti
author_sort Yenni Astuti
collection DOAJ
description Human-Computer Interaction technology allows humans to communicate with computers using natural language such as gestures. One of the gestures used by humans to communicate is hand gestures. In this research, hand gestures are recognized using images that represent pitch, roll, and yaw movement. As a feature extraction method, the histogram is used, while the classification method used is the Euclidean distance. From the experimental results, the combination of the histogram feature extraction method and the Euclidean distance classification method had an accuracy of 30 percent for images representing pitch and yaw movements, and 60 percent for images representing roll movements.
format Article
id doaj-art-ce5e79f6a38e49fc9b46f02b231e8719
institution Kabale University
issn 2252-3839
2549-2403
language English
publishDate 2024-12-01
publisher Institut Teknologi Dirgantara Adisutjipto
record_format Article
series Compiler
spelling doaj-art-ce5e79f6a38e49fc9b46f02b231e87192025-02-03T03:09:01ZengInstitut Teknologi Dirgantara AdisutjiptoCompiler2252-38392549-24032024-12-0113211712210.28989/compiler.v13i2.2640972Recognition of Hand Gestures Using Image with Histogram Feature Extraction and Euclidean Distance Classification MethodYenni Astuti0Sudaryanto Sudaryanto1Indah Dwi Ariyanti2Institut Teknologi Dirgantara AdisutjiptoInstitut Teknologi Dirgantara AdisutjiptoInstitut Teknologi Dirgantara AdisutjiptoHuman-Computer Interaction technology allows humans to communicate with computers using natural language such as gestures. One of the gestures used by humans to communicate is hand gestures. In this research, hand gestures are recognized using images that represent pitch, roll, and yaw movement. As a feature extraction method, the histogram is used, while the classification method used is the Euclidean distance. From the experimental results, the combination of the histogram feature extraction method and the Euclidean distance classification method had an accuracy of 30 percent for images representing pitch and yaw movements, and 60 percent for images representing roll movements.https://ejournals.itda.ac.id/index.php/compiler/article/view/2640hand gesture recognitionhistogrameuclidean distance
spellingShingle Yenni Astuti
Sudaryanto Sudaryanto
Indah Dwi Ariyanti
Recognition of Hand Gestures Using Image with Histogram Feature Extraction and Euclidean Distance Classification Method
Compiler
hand gesture recognition
histogram
euclidean distance
title Recognition of Hand Gestures Using Image with Histogram Feature Extraction and Euclidean Distance Classification Method
title_full Recognition of Hand Gestures Using Image with Histogram Feature Extraction and Euclidean Distance Classification Method
title_fullStr Recognition of Hand Gestures Using Image with Histogram Feature Extraction and Euclidean Distance Classification Method
title_full_unstemmed Recognition of Hand Gestures Using Image with Histogram Feature Extraction and Euclidean Distance Classification Method
title_short Recognition of Hand Gestures Using Image with Histogram Feature Extraction and Euclidean Distance Classification Method
title_sort recognition of hand gestures using image with histogram feature extraction and euclidean distance classification method
topic hand gesture recognition
histogram
euclidean distance
url https://ejournals.itda.ac.id/index.php/compiler/article/view/2640
work_keys_str_mv AT yenniastuti recognitionofhandgesturesusingimagewithhistogramfeatureextractionandeuclideandistanceclassificationmethod
AT sudaryantosudaryanto recognitionofhandgesturesusingimagewithhistogramfeatureextractionandeuclideandistanceclassificationmethod
AT indahdwiariyanti recognitionofhandgesturesusingimagewithhistogramfeatureextractionandeuclideandistanceclassificationmethod