Hand features extractor using hand contour – a case study
Hand gesture recognition is an important topic in natural user interfaces (NUI). Hand features extraction is the first step for hand gesture recognition. This work proposes a novel real time method for hand features recognition. In our framework we use three cameras and the hand region is extracted...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2020-01-01
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| Series: | Automatika |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/00051144.2019.1686568 |
| _version_ | 1818300480765296640 |
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| author | Antonio Guadalupe Cruz Bautista José-Joel González-Barbosa Juan Bautista Hurtado-Ramos Francisco-Javier Ornelas-Rodriguez Erick-Alejandro González-Barbosa |
| author_facet | Antonio Guadalupe Cruz Bautista José-Joel González-Barbosa Juan Bautista Hurtado-Ramos Francisco-Javier Ornelas-Rodriguez Erick-Alejandro González-Barbosa |
| author_sort | Antonio Guadalupe Cruz Bautista |
| collection | DOAJ |
| description | Hand gesture recognition is an important topic in natural user interfaces (NUI). Hand features extraction is the first step for hand gesture recognition. This work proposes a novel real time method for hand features recognition. In our framework we use three cameras and the hand region is extracted with the background subtraction method. Features like arm angle and fingers positions are calculated using Y variations in the vertical contour image. Wrist detection is obtained by calculating the bigger distance from a base line and the hand contour, giving the main features for the hand gesture recognition. Experiments on our own data-set of about 1800 images show that our method performs well and is highly efficient. |
| first_indexed | 2024-12-13T05:07:47Z |
| format | Article |
| id | doaj.art-d19de87060da4c66a8087a34cdf29a4a |
| institution | Directory Open Access Journal |
| issn | 0005-1144 1848-3380 |
| language | English |
| last_indexed | 2024-12-13T05:07:47Z |
| publishDate | 2020-01-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Automatika |
| spelling | doaj.art-d19de87060da4c66a8087a34cdf29a4a2022-12-21T23:58:37ZengTaylor & Francis GroupAutomatika0005-11441848-33802020-01-016119910810.1080/00051144.2019.16865681686568Hand features extractor using hand contour – a case studyAntonio Guadalupe Cruz Bautista0José-Joel González-Barbosa1Juan Bautista Hurtado-Ramos2Francisco-Javier Ornelas-Rodriguez3Erick-Alejandro González-Barbosa4Instituto Politécnico Nacional, CICATA QuerétaroInstituto Politécnico Nacional, CICATA QuerétaroInstituto Politécnico Nacional, CICATA QuerétaroInstituto Politécnico Nacional, CICATA QuerétaroInstituto Tecnológico Superior de Irapuato ITESI-IrapuatoHand gesture recognition is an important topic in natural user interfaces (NUI). Hand features extraction is the first step for hand gesture recognition. This work proposes a novel real time method for hand features recognition. In our framework we use three cameras and the hand region is extracted with the background subtraction method. Features like arm angle and fingers positions are calculated using Y variations in the vertical contour image. Wrist detection is obtained by calculating the bigger distance from a base line and the hand contour, giving the main features for the hand gesture recognition. Experiments on our own data-set of about 1800 images show that our method performs well and is highly efficient.http://dx.doi.org/10.1080/00051144.2019.1686568handgesturerecognitionfingersnui |
| spellingShingle | Antonio Guadalupe Cruz Bautista José-Joel González-Barbosa Juan Bautista Hurtado-Ramos Francisco-Javier Ornelas-Rodriguez Erick-Alejandro González-Barbosa Hand features extractor using hand contour – a case study Automatika hand gesture recognition fingers nui |
| title | Hand features extractor using hand contour – a case study |
| title_full | Hand features extractor using hand contour – a case study |
| title_fullStr | Hand features extractor using hand contour – a case study |
| title_full_unstemmed | Hand features extractor using hand contour – a case study |
| title_short | Hand features extractor using hand contour – a case study |
| title_sort | hand features extractor using hand contour a case study |
| topic | hand gesture recognition fingers nui |
| url | http://dx.doi.org/10.1080/00051144.2019.1686568 |
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