YOLO-v5 Based Single Step Student Affect State Detection System-Reference-Cited by-同舟云学术

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YOLO-v5 Based Single Step Student Affect State Detection System

Published:2023-04-05 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS)
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Author:

Mandia Sandeep¹,Mushtaq Faisel²,Singh Kuldeep¹,Mitharwal Rajendra¹,Panthakkan Alavikunhu³

Affiliation:

1. Malaviya National Institute of Technology,Department of Electronics and Communication Engineering,Jaipur,India

2. Malaviya National Institute of Technology,Department of Computer Science and Engineering,Jaipur,India

3. University of Dubai,College of Engineering and IT,Dubai,United Arab Emirates

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10135544/10136027/10136090.pdf?arnumber=10136090

Reference46 articles.

1. Threedimensional densenet self-attention neural network for automatic detection of student's engagement;mehta;Applied Intelligence,2022

2. Audio-visual automatic group affect analysis;sharma,2021

3. Learning Deep Spatiotemporal Feature for Engagement Recognition of Online Courses

4. A survey of emotion recognition methods with emphasis on E-Learning environments

5. A review of affective computing: From unimodal analysis to multimodal fusion

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