Talk · IEEE International Conference on Smart Information Systems and Technologies · April 28, 2022
A Real-Time Approach to Recognition of Kazakh Sign Language
Lazzat Zholshiyeva, Tamara Kokenovna Zhukabayeva, Sherzod Turaev, Meruyert Berdiyeva, R. Sengirbayeva
Abstract
The interaction between man and computer is expanded with computer technology development. Hand gesture recognition is an essential technology for human-computer interaction, and it allows the recording and interpretation of hand gestures without some devices' use. Since the hand is a man's primary working tool, its position and orientation in space are crucial for many potential applications, such as interaction with virtual reality devices. Hand position estimation is a substantial process of hand gesture recognition. However, there are many difficulties in 3D hand pose estimating from a single RGB image. Media Pipe is a high-quality finger and hand-tracking framework. It uses in machine learning to detect 3D landmarks. The proposed paper provides a real-time approach to recognizing Kazakh gestures performance using a conventional camera and Media Pipe.
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