Enhancing Kazakh Sign Language Recognition with BiLSTM Using YOLO Keypoints and Optical Flow

Enhancing Kazakh Sign Language Recognition with BiLSTM Using YOLO Keypoints and Optical Flow

Sign languages are characterized by complex and subtle hand movements, which are challenging for computer vision systems to accurately recognize. This study suggests an innovative deep learning pipeline specifically designed for reliable gesture recognition of Kazakh Sign Language. This approach com...

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Bibliographic Details
Main Authors: Zholdas Buribayev, Maria Aouani, Zhansaya Zhangabay, Ainur Yerkos, Zemfira Abdirazak, Mukhtar Zhassuzak
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Applied Sciences
Subjects:
sign language recognition
BiLSTM
optical flow
YOLO
gesture analysis
Online Access:https://www.mdpi.com/2076-3417/15/10/5685
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