作者
Abeer Alnuaim, Mohammed Zakariah, Wesam Atef Hatamleh, Hussam Tarazi, Vikas Tripathi, Enoch Tetteh Amoatey
发表日期
2022
期刊
Computational Intelligence and Neuroscience
卷号
2022
期号
1
页码范围
8777355
出版商
Hindawi
简介
Sign language is the native language of deaf people, which they use in their daily life, and it facilitates the communication process between deaf people. The problem faced by deaf people is targeted using sign language technique. Sign language refers to the use of the arms and hands to communicate, particularly among those who are deaf. This varies depending on the person and the location from which they come. As a result, there is no standardization about the sign language to be used; for example, American, British, Chinese, and Arab sign languages are all distinct. Here, in this study we trained a model, which will be able to classify the Arabic sign language, which consists of 32 Arabic alphabet sign classes. In images, sign language is detected through the pose of the hand. In this study, we proposed a framework, which consists of two CNN models, and each of them is individually trained on the training set …
引用总数
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A Alnuaim, M Zakariah, WA Hatamleh, H Tarazi… - Computational Intelligence and Neuroscience, 2022