Automated sign language recognition and translation | Metaglossia: The Translation World | Scoop.it

Automated sign language recognition and translation

Submission deadline

14 April 2027

 

This Collection supports and amplifies research related to: 

SDG 3 - Good Heath & Wellbeingand SDG 4 - Quality Education.

This Scientific Reports Collection welcomes original research on Automated sign language recognition and translation. Narrative review articles are also welcomed to our sister journal, Scientific Reviews. For further information, please view the ‘Participating Journals’ below.

The automated recognition and translation of sign language is increasingly important for improving communication access for Deaf and hard‑of‑hearing communities. Advances in deep learning and computer vision have significantly enhanced the ability to capture hand shapes, movements, facial expressions, and body posture. Modern models now support real‑time recognition, continuous signing interpretation, and natural‑language translation across diverse sign languages. Despite this progress, challenges remain due to linguistic complexity, signer variability, limited annotated datasets, and the need for culturally accurate translations.  —

To submit, see the participating journals

 

Editors

Jiaxin Cai, PhD

 Abhishek Kumar, PhD

 Phakkharawat Sittiprapaporn, PhD

 &

 Andrew Jeyabose Sundar, PhD

https://www.nature.com/collections/dfbcghfhbc

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