Completed tasks:

  • Automated I/O of CK+ dataset
  • Localized pre-processed VGG19 features of CK+ dataset for faster training
  • Preliminary training of SVM with 327 labeled pictures from CK+ dataset
  • Working on evaluating trained SVM
  • Implemented real-time prediction with camera input

To-do:

  • Evaluate performance of preliminary trained SVM
  • Speed up real-time SVM prediction
  • Improve accuracy of SVM prediction
  • Include AffectNet dataset in SVM training
  • Design report

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