GestureRecognitionToolkit
Version: 0.2.5
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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save() :
AdaBoost
,
ANBC
,
BAG
,
BernoulliRBM
,
ClassificationData
,
ClassificationDataStream
,
ClassLabelChangeFilter
,
ClassLabelFilter
,
ClassLabelTimeoutFilter
,
ContinuousHiddenMarkovModel
,
DeadZone
,
DecisionTree
,
Derivative
,
DiscreteHiddenMarkovModel
,
DoubleMovingAverageFilter
,
DTW
,
EnvelopeExtractor
,
FFT
,
FFTFeatures
,
FiniteStateMachine
,
FIRFilter
,
GestureRecognitionPipeline
,
GMM
,
HighPassFilter
,
HMM
,
KMeansFeatures
,
KMeansQuantizer
,
KNN
,
LeakyIntegrator
,
LinearRegression
,
LogisticRegression
,
LowPassFilter
,
MatrixFloat
,
MedianFilter
,
MinDist
,
MLBase
,
MLP
,
MovementDetector
,
MovementIndex
,
MovementTrajectoryFeatures
,
MovingAverageFilter
,
MultidimensionalRegression
,
Node
,
ParticleClassifier
,
PrincipalComponentAnalysis
,
RandomForests
,
RBMQuantizer
,
RegressionData
,
RegressionTree
,
RMSFilter
,
SavitzkyGolayFilter
,
SelfOrganizingMap
,
Softmax
,
SOMQuantizer
,
SVM
,
SwipeDetector
,
TimeDomainFeatures
,
TimeseriesBuffer
,
TimeSeriesClassificationData
,
UnlabelledData
,
VectorFloat
,
WeightedAverageFilter
,
ZeroCrossingCounter
saveBaseSettingsToFile() :
Classifier
,
MLBase
,
Regressifier
saveClustererSettingsToFile() :
Clusterer
saveContextSettingsToFile() :
Context
saveDatasetToCSVFile() :
ClassificationData
,
ClassificationDataStream
,
RegressionData
,
TimeSeriesClassificationData
,
UnlabelledData
saveDatasetToFile() :
ClassificationData
,
ClassificationDataStream
,
RegressionData
,
TimeSeriesClassificationData
,
UnlabelledData
saveFeatureExtractionSettingsToFile() :
FeatureExtraction
saveModelToFile() :
ClusterTree
,
DecisionStump
,
GaussianMixtureModels
,
HierarchicalClustering
,
KMeans
,
RadialBasisFunction
,
WeakClassifier
saveParametersToFile() :
ClusterTreeNode
,
DecisionTreeClusterNode
,
DecisionTreeNode
,
DecisionTreeThresholdNode
,
DecisionTreeTripleFeatureNode
,
Node
,
RegressionTreeNode
savePostProcessingSettingsToFile() :
PostProcessing
savePreProcessingSettingsToFile() :
PreProcessing
saveRangeDataToFile() :
RangeTracker
saveToCSVFile() :
MatrixFloat
SavitzkyGolayFilter() :
SavitzkyGolayFilter
scale() :
ClassificationData
,
ClassificationDataStream
,
GRTBase
,
MatrixFloat
,
RegressionData
,
TimeSeriesClassificationData
,
UnlabelledData
,
Util
,
VectorFloat
search() :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
searchIteration() :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
SelfOrganizingMap() :
SelfOrganizingMap
set() :
ClusterTreeNode
,
DecisionTreeClusterNode
,
DecisionTreeThresholdNode
,
DecisionTreeTripleFeatureNode
,
Dict
,
RegressionTreeNode
setAll() :
Matrix< T >
,
Vector< T >
setAllowNullGestureClass() :
ClassificationData
,
TimeSeriesClassificationData
setAllValues() :
CircularBuffer< T >
,
Matrix< T >
setAnalysisMode() :
ThresholdCrossingDetector
setBatchSize() :
MLBase
setBootstrappedDatasetWeight() :
RandomForests
setBufferSize() :
ClassLabelFilter
,
TimeseriesBuffer
setC() :
SVM
setClassificationResult() :
TestInstanceResult
,
TrainingResult
setClassifier() :
GestureRecognitionPipeline
setClassLabel() :
TimeSeriesPositionTracker
setClassNameForCorrespondingClassLabel() :
ClassificationData
,
ClassificationDataStream
,
TimeSeriesClassificationData
setClassProbabilities() :
DecisionTreeNode
setClusterer() :
GestureRecognitionPipeline
setClusters() :
KMeans
setCoef0() :
SVM
setColVector() :
Matrix< T >
setCommitteeSize() :
HMM
setComputeMagnitude() :
FFT
setComputePhase() :
FFT
setContext() :
SwipeDetector
setContrainWarpingPath() :
DTW
setCutoffFrequency() :
FIRFilter
,
HighPassFilter
,
LowPassFilter
setDatasetName() :
ClassificationData
,
ClassificationDataStream
,
RegressionData
,
TimeSeriesClassificationData
,
UnlabelledData
setDeadZoneThreshold() :
ZeroCrossingCounter
setDebugLoggingEnabled() :
GRTBase
setDecisionTreeNode() :
DecisionTree
,
RandomForests
setDegree() :
SVM
setDelta() :
ContinuousHiddenMarkovModel
,
Derivative
,
HMM
setDerivativeOrder() :
Derivative
setDetectionTimeoutMode() :
ThresholdCrossingDetector
setDistanceMethod() :
KNN
setDownsampleFactor() :
HMM
setEnableSearch() :
ThresholdCrossingDetector
setEndIndex() :
TimeSeriesPositionTracker
setErrorLoggingEnabled() :
CommandLineParser
,
GRTBase
setEstimationMode() :
ParticleFilter< PARTICLE, SENSOR_DATA >
setExternalRanges() :
ClassificationData
,
ClassificationDataStream
,
RegressionData
,
TimeSeriesClassificationData
,
UnlabelledData
setFeatureExtractionModule() :
GestureRecognitionPipeline
setFeatureMode() :
ZeroCrossingCounter
setFFTWindowFunction() :
FFT
setFFTWindowSize() :
FFT
setFilterFactor() :
HighPassFilter
,
LowPassFilter
setFilterMode() :
ClassLabelTimeoutFilter
setFilterSize() :
Derivative
setFilterType() :
FIRFilter
setForestSize() :
RandomForests
setGain() :
FIRFilter
,
HighPassFilter
,
LowPassFilter
setGamma() :
MLP
,
SVM
setHiddenLayerActivationFunction() :
MLP
setHMMType() :
HMM
setHopSize() :
FFT
setHysteresisThreshold() :
SwipeDetector
,
ThresholdCrossingDetector
setInfo() :
GestureRecognitionPipeline
setInfoLoggingEnabled() :
CommandLineParser
,
GRTBase
setInfoText() :
ClassificationData
,
ClassificationDataStream
,
RegressionData
,
TimeSeriesClassificationData
,
UnlabelledData
setInitMode() :
ParticleFilter< PARTICLE, SENSOR_DATA >
setInitModel() :
ParticleFilter< PARTICLE, SENSOR_DATA >
setInputAndTargetDimensions() :
RegressionData
setInputLayerActivationFunction() :
MLP
setInstanceLoggingEnabled() :
Log
setK() :
KNN
setKernelType() :
SVM
setKey() :
Log
setKFoldCrossValidationValue() :
SVM
setLeafNode() :
DecisionTreeNode
setLeakRate() :
LeakyIntegrator
setLearningRate() :
MLBase
setLoggingEnabled() :
DebugLog
,
ErrorLog
,
InfoLog
,
Log
,
TestingLog
,
TrainingLog
,
WarningLog
setLowerLimit() :
DeadZone
setLowerThreshold() :
ThresholdCrossingDetector
setMaxDepth() :
ClusterTree
,
DecisionTree
,
RandomForests
,
RegressionTree
,
Tree
setMaxKSearchValue() :
KNN
setMaxNumEpochs() :
MLBase
setMaxNumIterations() :
LinearRegression
,
LogisticRegression
setMeasurementNoise() :
ParticleFilter< PARTICLE, SENSOR_DATA >
setMinChange() :
MLBase
setMinimumCount() :
ClassLabelFilter
setMinKSearchValue() :
KNN
setMinNumEpochs() :
MLBase
setMinNumSamplesPerNode() :
ClusterTree
,
DecisionTree
,
RandomForests
,
RegressionTree
,
Tree
setMinRMSErrorPerNode() :
ClusterTree
,
RegressionTree
setModels() :
DTW
setModelType() :
ContinuousHiddenMarkovModel
,
HMM
setMomentum() :
MLP
setMovementThreshold() :
SwipeDetector
setNodeSize() :
DecisionTreeNode
setNormalizeWeights() :
ParticleFilter< PARTICLE, SENSOR_DATA >
setNu() :
SVM
setNullRejection() :
MLP
setNullRejectionCoeff() :
AdaBoost
,
ANBC
,
Classifier
,
KNN
,
MinDist
,
MLP
setNullRejectionThreshold() :
DTW
setNullRejectionThresholds() :
Classifier
setNumBoostingIterations() :
AdaBoost
setNumClusters() :
Clusterer
,
KMeansQuantizer
,
MinDist
,
RBMQuantizer
,
SOMQuantizer
setNumDimensions() :
ClassificationData
,
ClassificationDataStream
,
RangeTracker
,
TimeSeriesClassificationData
,
UnlabelledData
setNumMixtureModels() :
GMM
setNumRandomSplits() :
RandomForests
setNumRandomTrainingIterations() :
HMM
setNumRestarts() :
GaussianMixtureModels
,
MLBase
setNumSplittingSteps() :
ClusterTree
,
DecisionTree
,
RegressionTree
,
Tree
setNumStates() :
HMM
setNumSymbols() :
HMM
setNumTaps() :
FIRFilter
setOffsetFilterSize() :
ThresholdCrossingDetector
setOffsetTimeseriesUsingFirstSample() :
DTW
setOutputLayerActivationFunction() :
MLP
setPostProcessingModule() :
GestureRecognitionPipeline
setPredictionMethod() :
AdaBoost
setPreProcessingModule() :
GestureRecognitionPipeline
setProcessNoise() :
ParticleFilter< PARTICLE, SENSOR_DATA >
setPropagationModel() :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
setRandomiseTrainingOrder() :
MLBase
setRandomSeed() :
PSOParticle< OBSERVATION_TYPE >
setRegressifier() :
GestureRecognitionPipeline
setRegressionModule() :
MultidimensionalRegression
setRegressionResult() :
TestInstanceResult
,
TrainingResult
setRejectionMode() :
DTW
setRemoveFeaturesAtEachSpilt() :
RegressionTree
,
Tree
setRemoveFeaturesAtEachSplit() :
ClusterTree
,
DecisionTree
,
RandomForests
setResampleThreshold() :
ParticleFilter< PARTICLE, SENSOR_DATA >
setRowVector() :
Matrix< T >
setSampleRate() :
FIRFilter
setSearchTimeoutDuration() :
ThresholdCrossingDetector
setSearchWindowSize() :
ThresholdCrossingDetector
,
ZeroCrossingCounter
setSeed() :
Random
setSigma() :
HMM
setStartIndex() :
TimeSeriesPositionTracker
setSVMType() :
SVM
setSwipeDirection() :
SwipeDetector
setSwipeIndex() :
SwipeDetector
setSwipeIntegrationCoeff() :
SwipeDetector
setSwipeThreshold() :
SwipeDetector
setTestingLoggingEnabled() :
MLBase
setThreadPoolSize() :
ThreadPool
setThresholdCrossingMode() :
ThresholdCrossingDetector
setTimeoutDuration() :
ClassLabelTimeoutFilter
setTracker() :
TimeSeriesPositionTracker
setTrainingLoggingEnabled() :
MLBase
setTrainingMode() :
ClusterTree
,
DecisionTree
,
RandomForests
,
RegressionTree
,
Tree
setTrainingRate() :
MLP
setUpperLimit() :
DeadZone
setUpperThreshold() :
ThresholdCrossingDetector
setUseValidationSet() :
MLBase
setValidationSetSize() :
MLBase
setVerbose() :
ParticleFilter< PARTICLE, SENSOR_DATA >
setWarningLoggingEnabled() :
CommandLineParser
,
GRTBase
setWarpingRadius() :
DTW
setWeakClassifier() :
AdaBoost
setWeights() :
ANBC
,
BAG
sleep() :
Util
Softmax() :
Softmax
solve() :
LinearLeastSquares
SOMQuantizer() :
SOMQuantizer
sortClassLabels() :
ClassificationData
spiltDataIntoKFolds() :
ClassificationData
,
RegressionData
,
TimeSeriesClassificationData
,
UnlabelledData
split() :
ClassificationData
,
RegressionData
,
TimeSeriesClassificationData
,
UnlabelledData
SQR() :
ParticleFilter< PARTICLE, SENSOR_DATA >
,
PSOParticle< OBSERVATION_TYPE >
squaredEuclideanDistance() :
Util
start() :
Timer
stop() :
Timer
stringEndsWith() :
Util
stringToBool() :
Util
stringToDouble() :
Util
stringToFloat() :
Util
stringToInt() :
Util
subtract() :
MatrixFloat
sum() :
Util
SVM() :
SVM
SwipeDetector() :
SwipeDetector
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