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...
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Institut Teknologi Dirgantara Adisutjipto
2024-12-01
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Online Access: | https://ejournals.itda.ac.id/index.php/compiler/article/view/2640 |
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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 |