Convergence Speed up Using Convolutional Neural Network Combining with Long Short-Term Memory for American Sign Language Alphabet Recognition

Busarakorn Supitchaya; Varin Chouvatut

doi:10.1007/978-981-15-5859-7_41

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Convergence Speed up Using Convolutional Neural Network Combining with Long Short-Term Memory for American Sign Language Alphabet Recognition

Busarakorn Supitchaya Varin Chouvatut

Year: 2020 Advances in intelligent systems and computing Pages: 417-425 Publisher: Springer Nature

DOI: 10.1007/978-981-15-5859-7_41

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Keywords:

Computer science Gesture Convolutional neural network Artificial intelligence Sign (mathematics) Sign language American Sign Language Alphabet Pattern recognition (psychology) Word (group theory) Term (time) Simple (philosophy) Gesture recognition Support vector machine Recurrent neural network Speech recognition Artificial neural network Mathematics

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Hand Gesture Recognition Systems

Physical Sciences → Computer Science → Human-Computer Interaction

Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Gait Recognition and Analysis

Physical Sciences → Engineering → Biomedical Engineering

Convergence Speed up Using Convolutional Neural Network Combining with Long Short-Term Memory for American Sign Language Alphabet Recognition

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