Master index

Index for src

Index for src

Matlab files in this directory:

autoLabel	Samuel Rivera
calc2Dist	Notes: calculates 2-norm distance from target vector to all query vectors
calcAOIFixDensityDist	calculate fixation density at the AOIs
calcAOIFixDistHistDist	Calculate fixation density for different distances from relevant AOIs
calcAOIFixDurationDist	calculate fixation density at the AOIs
calcAOIFixSequenceDist	calculate matrix representing the sequence of AOIs fixated
calcAOISacDensityDist	calculate target saccade density
calcAOISacSequenceDist	calculate matrix representing the sequence of AOIs saccaded to
calcDistTraveled	calculate the total distance traveled by the eye
calcIrrRelSeq	convert the fixation or saccade sequence to a representation in terms of relevant and irrelevant AOIs
calcLatencyRelAOIFixDist	get latency until relevant AOI fixated
calcLatencyRelAOISacDist	get latency until relevant AOI is saccade target
calcPairwiseDistances	calculate the pairwise squared distance matrix (2-norm distance)
codeFixationsDist	June 22, 2011
codeSaccadesDist	identify saccades
combineBothEyes	combine gaze data from two eyes into one by averaging
describeVariables	This function tells you which variables are best in an easy to understand format
exportToTable	This function outputs variables in tab delimited file for further
extractVarsDist	extract all variables from a cell of eye tracks
filterEyeTrackInfant	Kalman filter missing data from eye track
findRedundancies	finds redundant variables for easy removal
findVarForBestIdx	This function tells you which variables are best in an easy to understand format
getLeave1OutLabels	get a struct for specifying folds of leave one out cross validation
kalmanMissingData	wrapper function for the kalman filter toolbox
loadFromTable	Syntax: dataStruct = loadFromTable( tableFile )
mixRGBAndGray	returns an image which is a mixture of an RGB image and a grayscale image
normc	Samuel Rivera
repmatC	% A c version of repmat
runLDALeave1Out	calculate leave 1 subject out accuracy for Bayes classifier with equal covariance
runLRLeave1Out	calculate leave 1 subject out accuracy for L1 penalized logistic regression
runSVMLeave1Out	calculate leave 1 subject out accuracy for linear SVM
scaleEyeTrack	scale eye track from [0 1] to image size
smoothTracks	Syntax: dataStruct = smoothTracks( dataStruct )
sortVariablesANOVA	anova ranking of variables
sortVariablesLR	L1 penalized logistic regression ranking of variables
sortVariablesNB	Naive bayes ranking of variables (using CV accuracy criterion)
viewAOILandscape	A: image
visualizeTrackDist	visualize the gaze data