Signgraph: An Efficient and Accurate Pose-Based Graph Convolution Approach Toward Sign Language Recognition

Sign language recognition (SLR) enables the deaf and speech-impaired community to integrate and communicate effectively with the rest of society. Word level or isolated SLR is a fundamental yet complex task with the main objective of using models to correctly recognize signed words. Sign language co...

詳細記述

書誌詳細

出版年:	IEEE Access
主要な著者:	Neelma Naz, Hasan Sajid, Sara Ali, Osman Hasan, Muhammad Khurram Ehsan
フォーマット:	論文
言語:	英語
出版事項:	IEEE 2023-01-01
主題:	Graph convolution network (GCN) skeleton modeling sign language recognition
オンライン･アクセス:	https://ieeexplore.ieee.org/document/10049842/