Deep Learning for Sign Language Recognition: Current Techniques, Benchmarks, and Open Issues

Deep Learning for Sign Language Recognition: Current Techniques, Benchmarks, and Open Issues

People with hearing impairments are found worldwide; therefore, the development of effective local level sign language recognition (SLR) tools is essential. We conducted a comprehensive review of automated sign language recognition based on machine/deep learning methods and techniques published betw...

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Bibliographic Details
Main Authors: Muhammad Al-Qurishi, Thariq Khalid, Riad Souissi
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Sign language
deep learning
continuous model
machine learning
pose estimation
Online Access:https://ieeexplore.ieee.org/document/9530569/

Internet

https://ieeexplore.ieee.org/document/9530569/

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