Empowering sign language communication: Integrating sentiment and semantics for facial expression synthesis-Reference-Cited by-同舟云学术

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Empowering sign language communication: Integrating sentiment and semantics for facial expression synthesis

Published:2024-11 Issue: Volume:124 Page:104065
ISSN:0097-8493
Container-title:Computers & Graphics
language:en
Short-container-title:Computers & Graphics

Author:

Azevedo Rafael V.,Coutinho Thiago M.,Ferreira João P.,Gomes Thiago L.,Nascimento Erickson R.

Funder

Financiadora de Estudos e Projetos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de Minas Gerais

Publisher

Elsevier BV

Reference54 articles.

1. Overcoming additional barriers to care for deaf and hard of hearing patients during COVID-19;McKee;JAMA Otolaryngol Head Neck Surg,2020

2. ’The world is not only for hearing people - it’s for all people’: The experiences of women who are deaf or hard of hearing in accessing healthcare services in Johannesburg, South Africa;Masuku;Afr J Disabil,2021

3. Multi-semantic discriminative feature learning for sign gesture recognition using hybrid deep neural architecture;Rajalakshmi;IEEE Access,2023

4. Static and dynamic isolated Indian and Russian sign language recognition with spatial and temporal feature detection using hybrid neural network;Rajalakshmi;ACM Trans Asian Low-Resour Lang Inf Process,2022

5. Weakly supervised learning with multi-stream CNN-LSTM-HMMs to discover sequential parallelism in sign language videos;Koller;IEEE Trans Pattern Anal Mach Intell,2020

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