TY - GEN
T1 - A Real-Time Approach to Recognition of Kazakh Sign Language
AU - Zholshiyeva, Lazzat
AU - Zhukabayeva, Tamara
AU - Turaev, Sherzod
AU - Berdiyeva, Meruyert
AU - Kuanysbaevna, Sengirbaeva Raykhan
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
KW - hand gesture recognition
KW - hand tracking
KW - Media Pipe
UR - http://www.scopus.com/inward/record.url?scp=85143402400&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85143402400&partnerID=8YFLogxK
U2 - 10.1109/SIST54437.2022.9945799
DO - 10.1109/SIST54437.2022.9945799
M3 - Conference contribution
AN - SCOPUS:85143402400
T3 - SIST 2022 - 2022 International Conference on Smart Information Systems and Technologies, Proceedings
BT - SIST 2022 - 2022 International Conference on Smart Information Systems and Technologies, Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2022 International Conference on Smart Information Systems and Technologies, SIST 2022
Y2 - 28 April 2022 through 30 April 2022
ER -