Exploring Sign Language Detection on Smartphones: A Systematic Review of Machine and Deep Learning Approaches

In this modern era of technology, most of the accessibility issues are handled with the help of smart devices and cutting-edge gadgets. Smartphones play a crucial role in addressing various accessibility challenges, including voice recognition, sign language detection and interpretation, navigation...

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Bibliographic Details
Published in:	Advances in human-computer interaction Vol. 2024; pp. 1 - 36
Main Authors:	Alam, Iftikhar, Hameed, Abdul, Ziar, Riaz Ahmad
Format:	Journal Article
Language:	English
Published:	New York Hindawi 11.03.2024 John Wiley & Sons, Inc Wiley
Subjects:	Accessibility Accuracy Analysis Cable television broadcasting industry Cameras Communication Computational linguistics Cutting equipment Deep learning Disabilities Disability Disorders Electronic devices Electronics in navigation Hearing Hearing loss Language Language processing Learning algorithms Literature reviews Machine learning Natural language interfaces Navigation systems Neural networks Physically disabled persons Sensors Sign language Smart phones Smartphones Speech Speech disorders Support vector machines Systematic review Translating and interpreting Trends Voice communication Voice recognition United States Pakistan India
ISSN:	1687-5893, 1687-5907
Online Access:	Get full text
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