Man pages for xsultan/activity_recognition
Detecting steps on various scenarios

buildAModelBuilds a GLM model
detectionDetection of the steps - helper function
detection_50Detection of the steps - main function
eularAnglesCalculate the Eular angles from quaternion
extractStepCycleExtract the step cycle
finalDataSet2029 steps of the testing data
findRMSEBuilds a predictive model and returns the RMSE
findRMSEFoundationBuilds a predictive model and returns the RMSE
generateDataSetGenerate dataset containing the metrics
generateDataSetLocallyGenerate dataset containing the steps data - from the local...
generateDataSetsLocallyGenerate dataset containing the steps data - from the local...
generateEquationGenerates an equation
generateFullFeaturesGenerate a dataset with all the features
hierarchicalClustering_SpearmanPlot the hierarchical Clustering
MergeAllRawDataMerge all the raw data into one dataframe
mergeAndApplyFeatureDataFrameMerge session files into one data frame - using data frame
mergeAndApplyFeatureDataFrameLocallyMerge session files into one data frame - on the raw files...
mergeAndApplyFeatureFilesMerge session files into one data frame - using files
R2Calculate the explained deviance of a model
removeCorrelatedFeaturesRemove the highly correlated features
xsultan/activity_recognition documentation built on May 28, 2017, 8:32 a.m.