yptheangel / attention-monitor

Our solution is a computer vision system that translates facial behavior statistics into an engagement metrics as a feedback to inform a teacher about students’ engagement in an online class.

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Online Classroom Attention Tracker (OCAT)

Online Class Attention Tracker

Client: python main.py --userid 123

python main.py --userid kenghooi --host 10.10.0.106

  • Real time data visualization with PyQtGraph
  • Face landmarks -eye, mouth monitor
  • Head pose estimation
  • Server-side, Client-side data streaming(pub,sub)
  • Post-session Attention Metrics Dashboard
  • face,person detection - attendance
  • human pose estimation - engagement, ergonomics

Contributors

William Ardianto, Kenghooi Teoh, Leonard Loh, Choo Wilson.

Pretrained Weights

References

About

Our solution is a computer vision system that translates facial behavior statistics into an engagement metrics as a feedback to inform a teacher about students’ engagement in an online class.

License:Apache License 2.0


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Language:JavaScript 69.6%Language:Python 24.0%Language:CSS 4.1%Language:HTML 2.3%Language:Dockerfile 0.0%