< Master index Index for GVSToolbox >

Index for GVSToolbox

Matlab files in this directory:

 autoLabelSamuel Rivera
 calc2DistNotes: calculates 2-norm distance from target vector to all query vectors
 calcAOIFixDensityDistcalculate fixation density at the AOIs
 calcAOIFixDistHistDistCalculate fixation density for different distances from relevant AOIs
 calcAOIFixDurationDistcalculate fixation density at the AOIs
 calcAOIFixSequenceDistcalculate matrix representing the sequence of AOIs fixated
 calcAOISacDensityDistcalculate target saccade density
 calcAOISacSequenceDistcalculate matrix representing the sequence of AOIs saccaded to
 calcDistTraveledcalculate the total distance traveled by the eye
 calcIrrRelSeqconvert the fixation or saccade sequence to a representation in terms of relevant and irrelevant AOIs
 calcLatencyRelAOIFixDistget latency until relevant AOI fixated
 calcLatencyRelAOISacDistget latency until relevant AOI is saccade target
 calcPairwiseDistancescalculate the pairwise squared distance matrix (2-norm distance)
 codeFixationsDistidentify fixations
 codeSaccadesDistidentify saccades
 combineBothEyescombine gaze data from two eyes into one by averaging
 describeVariablesThis function tells you which variables are best in an easy to understand format
 exampleEasyExample for easy use
 exportToTableThis function outputs variables in tab delimited file for further
 extractVarsDistextract all variables from a cell of eye tracks
 filterEyeTrackInfantKalman filter missing data from eye track
 findRedundanciesfinds redundant variables for easy removal
 findVarForBestIdxThis function tells you which variables are best in an easy to understand format
 getLeave1OutLabelsget a struct for specifying folds of leave one out cross validation
 kalmanMissingDatawrapper function for the kalman filter toolbox
 loadFromTableSyntax: dataStruct = loadFromTable( tableFile )
 mixRGBAndGrayreturns an image which is a mixture of an RGB image and a grayscale image
 repmatC% A c version of repmat
 runLDALeave1Outcalculate leave 1 subject out accuracy for Bayes classifier with equal covariance
 runLRLeave1Outcalculate leave 1 subject out accuracy for L1 penalized logistic regression
 runSVMLeave1Outcalculate leave 1 subject out accuracy for linear SVM
 scaleEyeTrackscale eye track from [0 1] to image size
 simpleGUISIMPLEGUI MATLAB code for simpleGUI.fig
 smoothTracksSyntax: dataStruct = smoothTracks( dataStruct )
 sortVariablesANOVAanova ranking of variables
 sortVariablesLRL1 penalized logistic regression ranking of variables
 sortVariablesNBNaive bayes ranking of variables (using CV accuracy criterion)
 viewAOILandscapeA: image
 visualizeTrackDistvisualize the gaze data

Subsequent directories:


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