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images
model
test_data
train_data
Database.xls
HMM_testing.m
HMM_training.m
K_means.m
README.md
SVM_testing.m
SVM_training.m
createCentroids.m
demo.m
distfun.m
findseq.m
getX_test.m
getX_train.m
main.m
test_model.m
train_model.m

README.md

		Readme File for Final Project - Fall Detection System
		        CS534 - Machine Learning
	----------------------------------------------------

There are three students in our group:

Our code contains the following functions:

  1. main.m: the main file that the program starts from
  2. createCentroids.m: create clusters for training data
  3. train_model.m: get list of train files and call specific HMM or SVM training function and save trained file for later use.
  4. test_model.m: get list of test files and call specific HMM or SVM testing function and report the result
  5. HMM_training.m: Set up variables for HMM training and train HMM
  6. HMM_testing.m: load necessary files and compare posterior of fall and nonfall and give the final answer
  7. SVM_training.m: Set up variables for SVM training and train SVM
  8. SVM_testing.m: load necessary files and get predict.
  9. Other supported files.

Besides, we also have some folders:

  1. model: contains model for clustering, hmm and svm
  2. train_data: contains all .mat file extracted features from training data
  3. test_data: contains all .mat file extacted features from testing data

Notice: we do not include any raw videos for small compression. For complete dataset, please visit: https://sites.google.com/site/falldetectionsystemdut/


12/1/2015 - Final Release of the Code