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UCLA-CS239

AI and Health Informatics -- course project

demo8Features.py :

  • Reads in the features and labels extracted from Matlab script "featureExtractionDemo.m".
  • Conduct binary classification on ADL/FALL data using SVM.

algorithms :

  • We used 7 models for training in train.py.
  • We tried to find the best parameter setting for svm&dt model in svm.py&dt.py
  • In addition, we tried hidden markov model in hmm.model.

featureExtractionDemo.m:

*Read from raw data from folder "./data" *Process raw data and extract features for Python demo. *Output the features and labels to folder "./demoFeaturesOutput"

MatlabUtl:

*Some useful Matlab helper function