Utilising the YOLOv3 Algorithm for the Student Posture Recognition System in Classroom Settings-Reference-Cited by-同舟云学术

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Utilising the YOLOv3 Algorithm for the Student Posture Recognition System in Classroom Settings

Published:2023-12-02 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE 8th International Conference on Recent Advances and Innovations in Engineering (ICRAIE)
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Author:

Nazaruddin Mohamad Nazmi Zharfan¹,Afirdaus Zainal Abidin Nor¹,Aminuddin Raihah¹,Samah Khyrina Airin Fariza Abu²,Ibrahim Asma Zubaida Mohamed³,Yusoh Syarifah Diyanah⁴,Mangshor Nur Nabilah Abu¹,Nasir Siti Diana Nabilah Mohd⁵

Affiliation:

1. MARA University of Technology Malacca Branch (Jasin Campus),College of Computing, Informatics & Mathematics,Malacca,Malaysia

2. MARA University of Technology,College of Computing, Informatics & Mathematics,Malacca,Malaysia

3. City University,Selangor,Malaysia

4. Multimedia University,Malacca,Malaysia

5. Hull University,England,United Kingdom

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10467192/10468068/10468178.pdf?arnumber=10468178

Reference23 articles.

1. A Hybrid Posture Detection Framework: Integrating Machine Learning and Deep Neural Networks

2. Human posture recognition based on multiple features and rule learning

3. Sitting Posture Recognition in Real-Time Combined with Index Map and BLS

4. Real-Time Human Sitting Position Recognition using Wireless Sensors

5. Human Motion Posture Detection Algorithm Using Deep Reinforcement Learning

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