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

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Vydáno v:	Scientific Reports Ročník 13
Hlavní autoři:	Refat Khan Pathan, Munmun Biswas, Suraiya Yasmin, Mayeen Uddin Khandaker, Mohammad Shukri Salman, Ahmed Youssef
Médium:	Journal Article
Jazyk:	angličtina japonština
Vydáno:	Springer Science and Business Media LLC 09.10.2023
Témata:	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
ISSN:	2045-2322
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ISSN:	2045-2322
DOI:	10.60692/pwxsa-dsb82