Improving sign language processing via few-shot machine learning

Improving sign language processing via few-shot machine learning

Improving the efficiency of communication of deaf and hard of hearing people by processing sign language using artificial intelligence is an important task both socially and technologically. One of the ways to solve this problem is a fairly cheap and accessible marker method. The method is based on...

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Bibliographic Details
Main Authors: Grigory F. Shovkoplias, Dmitriy A. Strokov, Daniil V. Kasantsev, Aleksandra S. Vatian, Arip A. Asadulaev, Ivan V. Tomilov, Anatoly A. Shalyto, Natalia F. Gusarova
Format: Article
Language:English
Published: Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) 2022-06-01
Series:Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki
Subjects:
sign language processing
few-shot machine learning
bracelets
marker methods
Online Access:https://ntv.ifmo.ru/file/article/21271.pdf

Internet

https://ntv.ifmo.ru/file/article/21271.pdf

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