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Artificial Intelligence Technologies for Sign Language.
Papastratis, Ilias; Chatzikonstantinou, Christos; Konstantinidis, Dimitrios; Dimitropoulos, Kosmas; Daras, Petros.
Afiliação
  • Papastratis I; Visual Computing Lab, Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), 57001 Thessaloniki, Greece.
  • Chatzikonstantinou C; Visual Computing Lab, Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), 57001 Thessaloniki, Greece.
  • Konstantinidis D; Visual Computing Lab, Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), 57001 Thessaloniki, Greece.
  • Dimitropoulos K; Visual Computing Lab, Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), 57001 Thessaloniki, Greece.
  • Daras P; Visual Computing Lab, Information Technologies Institute (ITI), Centre for Research and Technology Hellas (CERTH), 57001 Thessaloniki, Greece.
Sensors (Basel) ; 21(17)2021 Aug 30.
Article em En | MEDLINE | ID: mdl-34502733
AI technologies can play an important role in breaking down the communication barriers of deaf or hearing-impaired people with other communities, contributing significantly to their social inclusion. Recent advances in both sensing technologies and AI algorithms have paved the way for the development of various applications aiming at fulfilling the needs of deaf and hearing-impaired communities. To this end, this survey aims to provide a comprehensive review of state-of-the-art methods in sign language capturing, recognition, translation and representation, pinpointing their advantages and limitations. In addition, the survey presents a number of applications, while it discusses the main challenges in the field of sign language technologies. Future research direction are also proposed in order to assist prospective researchers towards further advancing the field.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Língua de Sinais / Inteligência Artificial Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Grécia

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Língua de Sinais / Inteligência Artificial Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Grécia