Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey
Recognizing sign language is one of the most challenging tasks of our time. Researchers in this field have focused on different types of signaling applications to get to know typically, the goal of sign language recognition is to classify sign language recognition into specific classes of expression...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | BIO Web of Conferences |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00051.pdf |
| _version_ | 1797213259993972736 |
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| author | Hussein Zahraa A. Mosa Qusay O. Hussein Hammadi Alaa |
| author_facet | Hussein Zahraa A. Mosa Qusay O. Hussein Hammadi Alaa |
| author_sort | Hussein Zahraa A. |
| collection | DOAJ |
| description | Recognizing sign language is one of the most challenging tasks of our time. Researchers in this field have focused on different types of signaling applications to get to know typically, the goal of sign language recognition is to classify sign language recognition into specific classes of expression labels. This paper surveys sign language recognition classification based on machine learning (ML), deep learning (DL), and optimization algorithms. A technique called sign language recognition uses a computer as an assistant with specific algorithms to evaluate basic sign language recognition. The letters of the alphabet were represented through sign language, relying on hand movement to communicate between deaf people and normal people. This paper presents a literature survey of the most important techniques used in sign language recognition models |
| first_indexed | 2024-04-24T10:55:27Z |
| format | Article |
| id | doaj.art-7c3fa87d1ff047a7a90f6f4eb78fe1d9 |
| institution | Directory Open Access Journal |
| issn | 2117-4458 |
| language | English |
| last_indexed | 2024-04-24T10:55:27Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj.art-7c3fa87d1ff047a7a90f6f4eb78fe1d92024-04-12T07:36:29ZengEDP SciencesBIO Web of Conferences2117-44582024-01-01970005110.1051/bioconf/20249700051bioconf_iscku2024_00051Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: SurveyHussein Zahraa A.0Mosa Qusay O.1Hussein Hammadi Alaa2College of Computer science & information technology, University of AL-QadisiyahCollege of Computer science & information technology, University of AL-QadisiyahCollege of Computer science & information technology, University of AL-QadisiyahRecognizing sign language is one of the most challenging tasks of our time. Researchers in this field have focused on different types of signaling applications to get to know typically, the goal of sign language recognition is to classify sign language recognition into specific classes of expression labels. This paper surveys sign language recognition classification based on machine learning (ML), deep learning (DL), and optimization algorithms. A technique called sign language recognition uses a computer as an assistant with specific algorithms to evaluate basic sign language recognition. The letters of the alphabet were represented through sign language, relying on hand movement to communicate between deaf people and normal people. This paper presents a literature survey of the most important techniques used in sign language recognition modelshttps://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00051.pdf |
| spellingShingle | Hussein Zahraa A. Mosa Qusay O. Hussein Hammadi Alaa Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey BIO Web of Conferences |
| title | Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey |
| title_full | Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey |
| title_fullStr | Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey |
| title_full_unstemmed | Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey |
| title_short | Grey Wolf Optimization-based Neural Network for Deaf and Mute Sign Language Recognition: Survey |
| title_sort | grey wolf optimization based neural network for deaf and mute sign language recognition survey |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2024/16/bioconf_iscku2024_00051.pdf |
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