Gesture recognition of the Kazakh alphabet based on machine and deep learning models

• المؤلفون الرئيسيون: Mukhanov S., Uskenbayeva R., Rakhim A.A., Akim A., Mamanova S.
• مؤلفون آخرون: 57209659807
• التنسيق: Conference paper
• منشور في: Elsevier B.V. 2025
• الموضوعات: Adversarial machine learning; Contrastive Learning; Deep neural networks; Gesture recognition; Gluing; Long short-term memory; Palmprint recognition; Self-supervised learning; Support vector machines; Unsupervised learning; Gestures recognition; Hand gesture; Hand gesture recogtion; Kazakh sign language; Learning models; Neural netwrok; Neural-networks; Short term memory; Sign language; Support vectors machine; Convolutional neural networks

Currently, a growing body of research focuses on addressing problems using computer vision libraries and artificial intelligence tools. The predominant approaches involve employing machine and deep learning models of artificial neural networks to recognize gestures in the Kazakh Sign Alphabet (KSA)...