Dynamic Korean Sign Language Recognition Using Pose Estimation Based and Attention-Based Neural Network

Dynamic Korean Sign Language Recognition Using Pose Estimation Based and Attention-Based Neural Network

Sign language recognition is crucial for improving communication accessibility for the hearing impaired community and reducing dependence on human interpreters. Notably, while significant research efforts have been devoted to many prevalent languages, Korean Sign Language (KSL) remains relatively un...

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Bibliographic Details
Main Authors: Jungpil Shin, Abu Saleh Musa Miah, Kota Suzuki, Koki Hirooka, Md. Al Mehedi Hasan
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Dynamic hand gesture recognition
Korean sign language (KSL)
graph convolutional network (GCN)
general convolutional neural network (GCNN)
machine learning
hand skeleton points
Online Access:https://ieeexplore.ieee.org/document/10360810/

Internet

https://ieeexplore.ieee.org/document/10360810/

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