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Human-Computer Interaction Using Manual Hand Gestures in Real Time

This paper describes the construction of an electronic system that can recognise twelve manual motions made by an interlocutor with one of their hands in a situation with regulated lighting and background in real time. Hand rotations, translations, and scale changes in the camera plane are all suppo...

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Autores principales: Alsaffar, Mohammad, Alshammari, Abdullah, Alshammari, Gharbi, Almurayziq, Tariq S, Aljaloud, Saud, Alshammari, Dhahi, Belay, Assaye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645356/
https://www.ncbi.nlm.nih.gov/pubmed/34876896
http://dx.doi.org/10.1155/2021/6972192
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author Alsaffar, Mohammad
Alshammari, Abdullah
Alshammari, Gharbi
Almurayziq, Tariq S
Aljaloud, Saud
Alshammari, Dhahi
Belay, Assaye
author_facet Alsaffar, Mohammad
Alshammari, Abdullah
Alshammari, Gharbi
Almurayziq, Tariq S
Aljaloud, Saud
Alshammari, Dhahi
Belay, Assaye
author_sort Alsaffar, Mohammad
collection PubMed
description This paper describes the construction of an electronic system that can recognise twelve manual motions made by an interlocutor with one of their hands in a situation with regulated lighting and background in real time. Hand rotations, translations, and scale changes in the camera plane are all supported by the implemented system. The system requires an Analog Devices ADSP BF-533 Ez-Kit Lite evaluation card. As a last stage in the development process, displaying a letter associated with a recognized gesture is advised. However, a visual representation of the suggested algorithm may be found in the visual toolbox of a personal computer. Individuals who are deaf or hard of hearing will communicate with the general population thanks to new technology that connects them to computers. This technology is being used to create new applications.
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spelling pubmed-86453562021-12-06 Human-Computer Interaction Using Manual Hand Gestures in Real Time Alsaffar, Mohammad Alshammari, Abdullah Alshammari, Gharbi Almurayziq, Tariq S Aljaloud, Saud Alshammari, Dhahi Belay, Assaye Comput Intell Neurosci Research Article This paper describes the construction of an electronic system that can recognise twelve manual motions made by an interlocutor with one of their hands in a situation with regulated lighting and background in real time. Hand rotations, translations, and scale changes in the camera plane are all supported by the implemented system. The system requires an Analog Devices ADSP BF-533 Ez-Kit Lite evaluation card. As a last stage in the development process, displaying a letter associated with a recognized gesture is advised. However, a visual representation of the suggested algorithm may be found in the visual toolbox of a personal computer. Individuals who are deaf or hard of hearing will communicate with the general population thanks to new technology that connects them to computers. This technology is being used to create new applications. Hindawi 2021-11-28 /pmc/articles/PMC8645356/ /pubmed/34876896 http://dx.doi.org/10.1155/2021/6972192 Text en Copyright © 2021 Mohammad Alsaffar et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Alsaffar, Mohammad
Alshammari, Abdullah
Alshammari, Gharbi
Almurayziq, Tariq S
Aljaloud, Saud
Alshammari, Dhahi
Belay, Assaye
Human-Computer Interaction Using Manual Hand Gestures in Real Time
title Human-Computer Interaction Using Manual Hand Gestures in Real Time
title_full Human-Computer Interaction Using Manual Hand Gestures in Real Time
title_fullStr Human-Computer Interaction Using Manual Hand Gestures in Real Time
title_full_unstemmed Human-Computer Interaction Using Manual Hand Gestures in Real Time
title_short Human-Computer Interaction Using Manual Hand Gestures in Real Time
title_sort human-computer interaction using manual hand gestures in real time
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8645356/
https://www.ncbi.nlm.nih.gov/pubmed/34876896
http://dx.doi.org/10.1155/2021/6972192
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