Chinese fingerspelling sign language recognition using a nine-layer convolutional neural network

Chinese fingerspelling sign language recognition using a nine-layer convolutional neural network

INTRODUCTION: Sign language is a form of communication and exchange of ideas by people who are hearing-impaired or unable to speak. Chinese fingerspelling is an important component of Chinese sign language, which is suitable for denoting terminology and using as...

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Bibliographic Details
Main Authors: Ya Gao, Chengchong Jia, Hongli Chen, Xianwei Jiang
Format: Article
Language:English
Published: European Alliance for Innovation (EAI) 2021-02-01
Series:EAI Endorsed Transactions on e-Learning
Subjects:
deaf-mute
sign language recognition
chinese fingerspelling recognition
convolutional neural network
stochastic pooling
batch normalization technology
dropout method
Online Access:https://eudl.eu/pdf/10.4108/eai.12-10-2020.166555

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https://eudl.eu/pdf/10.4108/eai.12-10-2020.166555

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