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Dynamic Iranian Sign Language Recognition Using an Optimized Deep Neural Network

An Implementation via a Robotic-Based Architecture

Bibliographic Data

ID21199732
AuthorsSalar Basiri (0000-0002-9398-7910, Sharif University of Technology), Alireza Taheri (0000-0001-5826-260X, Sharif University of Technology, corresponding author), Ali Meghdari (0000-0001-6009-3825, Islamic Azad University, Tehran), Ali F Meghdari, Mehrdad Boroushaki (0000-0001-8757-9219, Sharif University of Technology), Minoo Alemi (0000-0001-9703-831X, Sharif University of Technology)
Year2023
Volume15
Issue4
Pages599-619
Publication date2023-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueInternational Journal of Social Robotics (JOURNAL)
Journal identifiersISSN: 1875-4791 • E-ISSN: 1875-4805
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s12369-021-00819-0
OpenAlexW3198126064
LanguageEN
Citations received1
References cited43

Artificial neural network · Gesture · Gesture recognition · Machine learning · Robot · Sign language · Speech recognition · Computer Science · Hand Gesture Recognition Systems · Human Pose and Action Recognition · Robot Manipulation and Learning · Artificial Intelligence

  • Continuous Hand Gesture-Based Human-Robot Interaction for Indoor Mobile Robot

    Open Access•Junlang Wu, Weihua Sheng et al.•International Journal of Social…•2026

  • The unified theory of acceptance and use of technology (UTAUT)

    Open Access•Melvin D Williams, Michael D Williams et al.•Journal of Enterprise Information…•2015

  • Deep learning in neural networks

    Open Access•Jurgen Schmidhuber•Neural Networks•2015

  • ImageNet classification with deep convolutional neural networks

    Open Access•Alex Krizhevsky, Ilya Sutskever et al.•Communications of the ACM•2017

  • Deep learning

    Open Access•Yann LeCun, Yoshua Bengio et al.•Nature•2015

  • The Impact of Sign Language on the Cognitive Development of Deaf Children

    Cyril Courtin•The Journal of Deaf Studies and…•2000

Unique citing works1
Citations per year1
Citation span2026 - 2026 (1)
Citation velocitycurrent
Highly citedNo

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