Trends and challenges for sign language recognition with machine learning

Jerome Fink; Mathieu De Coster; Joni Dambre; Benoît Frénay

Trends and challenges for sign language recognition with machine learning

Jerome Fink, Mathieu De Coster, Joni Dambre, Benoît Frénay

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

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Abstract

Research in natural language processing has led to the creation of powerful tools for individuals, companies... However, these successes for written languages have not yet affected signed languages (SLs) to the same extent. The creation of similar tools for signed languages would benefit deaf, hard of hearing, and hearing people by making SL content, learning, and communication more accessible for everyone. SL recognition and translation are related to AI, but require collaboration with linguists and stakeholders. This paper describes related challenges from an AI researcher’s point of view and summarizes the state of the art in these domains.

Translated title of the contribution	Tendances et défis de la reconnaissance de la langue des signes avec du machine learning
Original language	English
Title of host publication	ESANN 2023
Subtitle of host publication	31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Bruges & online event October 4-5-6 2023
Publisher	i6doc.com
Pages	561-570
Number of pages	10
ISBN (Electronic)	9782875870889
ISBN (Print)	9782875870872
Publication status	Published - 4 Oct 2023

Publication series

Name	31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

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European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
Jerome Fink (Contributor)
31 Oct 0006
Activity: Participating in or organising an event types › Participation in conference

Cite this

Fink, J., De Coster, M., Dambre, J., & Frénay, B. (2023). Trends and challenges for sign language recognition with machine learning. In ESANN 2023 : 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Bruges & online event October 4-5-6 2023 (pp. 561-570). (31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning). i6doc.com.

Fink, Jerome ; De Coster, Mathieu ; Dambre, Joni et al. / Trends and challenges for sign language recognition with machine learning. ESANN 2023 : 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Bruges & online event October 4-5-6 2023. i6doc.com, 2023. pp. 561-570 (31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

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title = "Trends and challenges for sign language recognition with machine learning",

abstract = "Research in natural language processing has led to the creation of powerful tools for individuals, companies... However, these successes for written languages have not yet affected signed languages (SLs) to the same extent. The creation of similar tools for signed languages would benefit deaf, hard of hearing, and hearing people by making SL content, learning, and communication more accessible for everyone. SL recognition and translation are related to AI, but require collaboration with linguists and stakeholders. This paper describes related challenges from an AI researcher{\textquoteright}s point of view and summarizes the state of the art in these domains.",

author = "Jerome Fink and {De Coster}, Mathieu and Joni Dambre and Beno{\^i}t Fr{\'e}nay",

year = "2023",

month = oct,

day = "4",

language = "English",

isbn = "9782875870872",

series = "31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning",

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pages = "561--570",

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Fink, J, De Coster, M, Dambre, J & Frénay, B 2023, Trends and challenges for sign language recognition with machine learning. in ESANN 2023 : 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Bruges & online event October 4-5-6 2023. 31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, i6doc.com, pp. 561-570.

Trends and challenges for sign language recognition with machine learning. / Fink, Jerome; De Coster, Mathieu; Dambre, Joni et al.
ESANN 2023 : 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Bruges & online event October 4-5-6 2023. i6doc.com, 2023. p. 561-570 (31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

Research output: Contribution in Book/Catalog/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Trends and challenges for sign language recognition with machine learning

AU - Fink, Jerome

AU - De Coster, Mathieu

AU - Dambre, Joni

AU - Frénay, Benoît

PY - 2023/10/4

Y1 - 2023/10/4

N2 - Research in natural language processing has led to the creation of powerful tools for individuals, companies... However, these successes for written languages have not yet affected signed languages (SLs) to the same extent. The creation of similar tools for signed languages would benefit deaf, hard of hearing, and hearing people by making SL content, learning, and communication more accessible for everyone. SL recognition and translation are related to AI, but require collaboration with linguists and stakeholders. This paper describes related challenges from an AI researcher’s point of view and summarizes the state of the art in these domains.

AB - Research in natural language processing has led to the creation of powerful tools for individuals, companies... However, these successes for written languages have not yet affected signed languages (SLs) to the same extent. The creation of similar tools for signed languages would benefit deaf, hard of hearing, and hearing people by making SL content, learning, and communication more accessible for everyone. SL recognition and translation are related to AI, but require collaboration with linguists and stakeholders. This paper describes related challenges from an AI researcher’s point of view and summarizes the state of the art in these domains.

M3 - Conference contribution

SN - 9782875870872

T3 - 31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

SP - 561

EP - 570

BT - ESANN 2023

PB - i6doc.com

ER -

Fink J, De Coster M, Dambre J, Frénay B. Trends and challenges for sign language recognition with machine learning. In ESANN 2023 : 31st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning - Bruges & online event October 4-5-6 2023. i6doc.com. 2023. p. 561-570. (31th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning).

Trends and challenges for sign language recognition with machine learning

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European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

Cite this