Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network

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Vydané v:Scientific Reports Ročník 13
Hlavní autori: Refat Khan Pathan, Munmun Biswas, Suraiya Yasmin, Mayeen Uddin Khandaker, Mohammad Shukri Salman, Ahmed Youssef
Médium: Journal Article
Jazyk:English
Japanese
Vydavateľské údaje: Springer Science and Business Media LLC 09.10.2023
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ISSN:2045-2322
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Author Ahmed Youssef
Refat Khan Pathan
Mayeen Uddin Khandaker
Suraiya Yasmin
Mohammad Shukri Salman
Munmun Biswas
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10.1038/s41598-023-43852-x
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SubjectTerms Acquisition and Development of Sign Language
American Sign Language
Artificial intelligence
Artificial neural network
Biomedical Engineering
Computer science
Computer vision
Continuous Recognition
Convolutional neural network
Cross-View Recognition
Deep learning
Developmental and Educational Psychology
Dropout (neural networks)
Engineering
FOS: Languages and literature
FOS: Mathematics
FOS: Medical engineering
FOS: Philosophy, ethics and religion
FOS: Psychology
Gait Recognition for Human Identification
Gesture Recognition
Gesture Recognition in Human-Computer Interaction
Hand
Human-Computer Interaction
Humans
Image (mathematics)
Image processing
Image Processing, Computer-Assisted
Language Acquisition
Linguistics
Machine learning
Mathematical analysis
Mathematics
Medicine
Neural Networks, Computer
Overfitting
Pattern recognition (psychology)
Philosophy
Physical Sciences
Psychology
Q
R
Science
Sign (mathematics)
Sign Language
Social Sciences
Speech recognition
Title Sign language recognition using the fusion of image and hand landmarks through multi-headed convolutional neural network
URI https://cir.nii.ac.jp/crid/1873398392654474112
Volume 13
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