Deep Learning in Sign Language Recognition: A Hybrid Approach for the Recognition of Static and Dyna...
Deep Learning in Sign Language Recognition: A Hybrid Approach for the Recognition of Static and Dynamic Signs
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Publisher
Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
A speech impairment limits a person’s capacity for oral and auditory communication. A great improvement in communication between the deaf and the general public would be represented by a real-time sign language detector. This work proposes a deep learning-based algorithm that can identify words from a person’s gestures and detect them. There have b...
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Full title
Deep Learning in Sign Language Recognition: A Hybrid Approach for the Recognition of Static and Dynamic Signs
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TN_cdi_doaj_primary_oai_doaj_org_article_177c087e9bb34b318ef4a7286ffd97fa
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_177c087e9bb34b318ef4a7286ffd97fa
Other Identifiers
ISSN
2227-7390
E-ISSN
2227-7390
DOI
10.3390/math11173729
