Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model

Signer-Independent Arabic Sign Language Recognition System Using Deep Learning Model

<p dir="ltr">Every one of us has a unique manner of communicating to explore the world, and such communication helps to interpret life. Sign language is the popular language of communication for hearing and speech-disabled people. When a sign language user interacts with a non-sign l...

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Bibliographic Details
Main Author: Kanchon Kanti Podder (19459564) (author)
Other Authors: Maymouna Ezeddin (16891368) (author), Muhammad E. H. Chowdhury (14150526) (author), Md. Shaheenur Islam Sumon (17983810) (author), Anas M. Tahir (16870077) (author), Mohamed Arselene Ayari (16869978) (author), Proma Dutta (19459567) (author), Amith Khandakar (14151981) (author), Zaid Bin Mahbub (16869975) (author), Muhammad Abdul Kadir (16869963) (author)
Published: 2023
Subjects:
Information and computing sciences
Artificial intelligence
Computer vision and multimedia computation
Human-centred computing
Arabic Sign Language
deep learning
dynamic sign language
segmentation
MediaPipe
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