Hand Gesture Recognition Methods and Applications: A Literature Survey-Reference-Cited by-同舟云学术

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Hand Gesture Recognition Methods and Applications: A Literature Survey

Published:2021-10-11 Issue: Volume: Page:
ISSN:
Container-title:The 7th International Conference on Engineering & MIS 2021
language:
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Author:

Zulpukharkyzy Zholshiyeva Lazzat¹,Kokenovna Zhukabayeva Tamara¹,Turaev Sherzod²,Aimambetovna Berdiyeva Meruyert³,Tokhtasynovna Jambulova Dina³

Affiliation:

1. Department of Engineering and information technology, Astana Intenational University, Kazakhstan

2. Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, United Arab Emirates

3. Department of Medical Biophysics and IT, South Kazakhstan Medical Academy, Kazakhstan

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3492547.3492578

Reference70 articles.

1. Development of a new Arabic sign language recognition using k-nearest neighbor algorithm;Naoum Reyadh S.;J. Emerg. Trends Comput. Inf. Sci.,2012

2. Lihong Zheng Bin Liang and Ailian Jiang. 2017. Recent Advances of Deep Learning for Sign Language Recognition. Lihong Zheng Bin Liang and Ailian Jiang. 2017. Recent Advances of Deep Learning for Sign Language Recognition.

3. A Review on Vision-Based Hand Gesture Recognition and Applications

4. Sign language recognition with long short-term memory

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4. Hand Gestures and Machine Learning: A Novel Path to Number Prediction;2023 International Conference on Recent Advances in Science and Engineering Technology (ICRASET);2023-11-23

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