Different Categories of Feature Extraction and Machine Learning Classification Models Used for Hand Gesture Recognition Systems: A Review-Reference-Cited by-同舟云学术

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Different Categories of Feature Extraction and Machine Learning Classification Models Used for Hand Gesture Recognition Systems: A Review

Published:2023-04-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 8th International Conference for Convergence in Technology (I2CT)
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Author:

Dhiman Richa¹,Luthra Pooja¹,Singh Nongmeikapam Thoiba¹

Affiliation:

1. Chandigarh University,Department of Computer Science Engineering,Punjab,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10126131/10126116/10126410.pdf?arnumber=10126410

Reference20 articles.

1. Hand Gesture Recognition Using PCA;kaur ahuja;International Journal of Computer Science Engineering and Technology (IJCSET),2015

2. Hand Gesture Recognition Based on Computer Vision: A Review of Techniques

3. A real-time hand gesture recognition method

4. Hand gesture recognition based on HOG-LBP feature

5. Design of a Flexible Wearable Smart sEMG Recorder Integrated Gradient Boosting Decision Tree Based Hand Gesture Recognition

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Unveiling EMG semantics: a prototype-learning approach to generalizable gesture classification;Journal of Neural Engineering;2024-06-01

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