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facial-features

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The project, funded by the National Undergrad Innovation Training Program, aims to research non-contact heart rate measurement within a year. It utilizes device cameras (e.g., computers, smartphones) to extract facial video light signals, analyze them, and determine real-time heart rates based on Imaging Photoplethysmography (IPPG).

  • Updated May 28, 2024
  • Python

A health prediction system that takes facial images as input and predicts whether the person in the image is healthy or ill with fever, sore throat or running nose. 16 experiments combining LBP, PCA, LDA, Gabor filter feature extraction methods and SVM, NN, KNN, RF classifiers were run to find the best overall model for the health prediction sys…

  • Updated Sep 22, 2021
  • Jupyter Notebook

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