GestureRecognitionToolkit  Version: 0.2.0
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
MovementDetector Member List

This is the complete list of members for MovementDetector, including all inherited members.

BASE_TYPE_NOT_SET enum value (defined in MLBase)MLBase
baseType (defined in MLBase)MLBaseprotected
BaseTypes enum name (defined in MLBase)MLBase
CLASSIFIER enum value (defined in MLBase)MLBase
classType (defined in GRTBase)GRTBaseprotected
clear()MovementDetectorvirtual
CLUSTERER enum value (defined in MLBase)MLBase
copyGRTBaseVariables(const GRTBase *GRTBase)GRTBase
copyMLBaseVariables(const MLBase *mlBase)MLBase
debugLog (defined in GRTBase)GRTBaseprotected
enableScaling(const bool useScaling)MLBase
errorLog (defined in GRTBase)GRTBaseprotected
firstSample (defined in MovementDetector)MovementDetectorprotected
gamma (defined in MovementDetector)MovementDetectorprotected
getBaseType() const MLBase
getClassType() const GRTBase
getGamma() const (defined in MovementDetector)MovementDetector
getGRTBasePointer()GRTBase
getGRTBasePointer() const GRTBase
getGRTRevison()GRTBasestatic
getGRTVersion(bool returnRevision=true)GRTBasestatic
getInputType() const MLBase
getIsBaseTypeClassifier() const MLBase
getIsBaseTypeClusterer() const MLBase
getIsBaseTypeRegressifier() const MLBase
getLastErrorMessage() const GRTBase
getLastInfoMessage() const GRTBase
getLastWarningMessage() const GRTBase
getLearningRate() const MLBase
getLowerThreshold() const (defined in MovementDetector)MovementDetector
getMaxNumEpochs() const MLBase
getMinChange() const MLBase
getMinNumEpochs() const MLBase
getMLBasePointer()MLBase
getMLBasePointer() const MLBase
getModel(std::ostream &stream) const MLBasevirtual
getModelAsString() const MLBasevirtual
getModelTrained() const MLBase
getMovementDetected() const (defined in MovementDetector)MovementDetector
getMovementIndex() const (defined in MovementDetector)MovementDetector
getNoMovementDetect() const (defined in MovementDetector)MovementDetector
getNumInputDimensions() const MLBase
getNumInputFeatures() const MLBase
getNumOutputDimensions() const MLBase
getNumTrainingIterationsToConverge() const MLBase
getOutputType() const MLBase
getRandomiseTrainingOrder() const MLBase
getRootMeanSquaredTrainingError() const MLBase
getScalingEnabled() const MLBase
getSearchTimeout() const (defined in MovementDetector)MovementDetector
getState() const (defined in MovementDetector)MovementDetector
getTotalSquaredTrainingError() const MLBase
getTrained() const MLBase
getTrainingResults() const MLBase
getUpperThreshold() const (defined in MovementDetector)MovementDetector
getUseValidationSet() const MLBase
getValidationSetAccuracy() const MLBase
getValidationSetPrecision() const MLBase
getValidationSetRecall() const MLBase
getValidationSetSize() const MLBase
GRT_DEPRECATED_MSG("saveModelToFile(std::string filename) is deprecated, use save(std::string filename) instead", virtual bool saveModelToFile(std::string filename) const )MLBase
GRT_DEPRECATED_MSG("saveModelToFile(std::fstream &file) is deprecated, use save(std::fstream &file) instead", virtual bool saveModelToFile(std::fstream &file) const )MLBase
GRT_DEPRECATED_MSG("loadModelFromFile(std::string filename) is deprecated, use load(std::string filename) instead", virtual bool loadModelFromFile(std::string filename))MLBase
GRT_DEPRECATED_MSG("loadModelFromFile(std::fstream &file) is deprecated, use load(std::fstream &file) instead", virtual bool loadModelFromFile(std::fstream &file))MLBase
GRTBase(void)GRTBase
infoLog (defined in GRTBase)GRTBaseprotected
inputType (defined in MLBase)MLBaseprotected
lastSample (defined in MovementDetector)MovementDetectorprotected
learningRate (defined in MLBase)MLBaseprotected
load(std::fstream &file)MovementDetectorvirtual
MLBase::load(const std::string filename)MLBasevirtual
loadBaseSettingsFromFile(std::fstream &file)MLBaseprotected
lowerThreshold (defined in MovementDetector)MovementDetectorprotected
map(VectorFloat inputVector)MLBasevirtual
map_(VectorFloat &inputVector)MLBasevirtual
maxNumEpochs (defined in MLBase)MLBaseprotected
minChange (defined in MLBase)MLBaseprotected
minNumEpochs (defined in MLBase)MLBaseprotected
MLBase(void)MLBase
movementDetected (defined in MovementDetector)MovementDetectorprotected
MovementDetector(const UINT numDimensions=1, const Float upperThreshold=1, const Float lowerThreshold=0.9, const Float gamma=0.95, const UINT searchTimeout=0) (defined in MovementDetector)MovementDetector
movementIndex (defined in MovementDetector)MovementDetectorprotected
noMovementDetected (defined in MovementDetector)MovementDetectorprotected
notify(const TrainingResult &data) (defined in Observer< TrainingResult >)Observer< TrainingResult >inlinevirtual
notify(const TestInstanceResult &data) (defined in Observer< TestInstanceResult >)Observer< TestInstanceResult >inlinevirtual
notifyTestResultsObservers(const TestInstanceResult &data)MLBase
notifyTrainingResultsObservers(const TrainingResult &data)MLBase
numInputDimensions (defined in MLBase)MLBaseprotected
numOutputDimensions (defined in MLBase)MLBaseprotected
numTrainingIterationsToConverge (defined in MLBase)MLBaseprotected
Observer() (defined in Observer< TrainingResult >)Observer< TrainingResult >inline
Observer() (defined in Observer< TestInstanceResult >)Observer< TestInstanceResult >inline
outputType (defined in MLBase)MLBaseprotected
predict(VectorFloat inputVector)MLBasevirtual
predict(MatrixFloat inputMatrix)MLBasevirtual
predict_(VectorFloat &input)MovementDetectorvirtual
MLBase::predict_(MatrixFloat &inputMatrix)MLBasevirtual
print() const MLBasevirtual
random (defined in MLBase)MLBaseprotected
randomiseTrainingOrder (defined in MLBase)MLBaseprotected
registerTestResultsObserver(Observer< TestInstanceResult > &observer)MLBase
registerTrainingResultsObserver(Observer< TrainingResult > &observer)MLBase
REGRESSIFIER enum value (defined in MLBase)MLBase
removeAllTestObservers()MLBase
removeAllTrainingObservers()MLBase
removeTestResultsObserver(const Observer< TestInstanceResult > &observer)MLBase
removeTrainingResultsObserver(const Observer< TrainingResult > &observer)MLBase
reset()MovementDetectorvirtual
rootMeanSquaredTrainingError (defined in MLBase)MLBaseprotected
save(std::fstream &file) const MovementDetectorvirtual
MLBase::save(const std::string filename) const MLBasevirtual
saveBaseSettingsToFile(std::fstream &file) const MLBaseprotected
scale(const Float &x, const Float &minSource, const Float &maxSource, const Float &minTarget, const Float &maxTarget, const bool constrain=false)MLBaseinline
SEARCH_TIMEOUT enum value (defined in MovementDetector)MovementDetector
SEARCHING_FOR_MOVEMENT enum value (defined in MovementDetector)MovementDetector
SEARCHING_FOR_NO_MOVEMENT enum value (defined in MovementDetector)MovementDetector
SearchStates enum name (defined in MovementDetector)MovementDetector
searchTimeout (defined in MovementDetector)MovementDetectorprotected
searchTimer (defined in MovementDetector)MovementDetectorprotected
setErrorLoggingEnabled(const bool loggingEnabled)GRTBase
setGamma(const Float gamma) (defined in MovementDetector)MovementDetector
setInfoLoggingEnabled(const bool loggingEnabled)GRTBase
setLearningRate(const Float learningRate)MLBase
setLowerThreshold(const Float lowerThreshold) (defined in MovementDetector)MovementDetector
setMaxNumEpochs(const UINT maxNumEpochs)MLBase
setMinChange(const Float minChange)MLBase
setMinNumEpochs(const UINT minNumEpochs)MLBase
setRandomiseTrainingOrder(const bool randomiseTrainingOrder)MLBase
setSearchTimeout(const UINT searchTimeout) (defined in MovementDetector)MovementDetector
setTrainingLoggingEnabled(const bool loggingEnabled)MLBase
setUpperThreshold(const Float upperThreshold) (defined in MovementDetector)MovementDetector
setUseValidationSet(const bool useValidationSet)MLBase
setValidationSetSize(const UINT validationSetSize)MLBase
setWarningLoggingEnabled(const bool loggingEnabled)GRTBase
SQR(const Float &x) const (defined in GRTBase)GRTBaseinlineprotected
state (defined in MovementDetector)MovementDetectorprotected
testingLog (defined in GRTBase)GRTBaseprotected
testResultsObserverManager (defined in MLBase)MLBaseprotected
totalSquaredTrainingError (defined in MLBase)MLBaseprotected
train(ClassificationData trainingData)MLBasevirtual
train(RegressionData trainingData)MLBasevirtual
train(TimeSeriesClassificationData trainingData)MLBasevirtual
train(ClassificationDataStream trainingData)MLBasevirtual
train(UnlabelledData trainingData)MLBasevirtual
train(MatrixFloat data)MLBasevirtual
train_(ClassificationData &trainingData)MLBasevirtual
train_(RegressionData &trainingData)MLBasevirtual
train_(TimeSeriesClassificationData &trainingData)MLBasevirtual
train_(ClassificationDataStream &trainingData)MLBasevirtual
train_(UnlabelledData &trainingData)MLBasevirtual
train_(MatrixFloat &data)MLBasevirtual
trained (defined in MLBase)MLBaseprotected
trainingLog (defined in GRTBase)GRTBaseprotected
trainingResults (defined in MLBase)MLBaseprotected
trainingResultsObserverManager (defined in MLBase)MLBaseprotected
upperThreshold (defined in MovementDetector)MovementDetectorprotected
useScaling (defined in MLBase)MLBaseprotected
useValidationSet (defined in MLBase)MLBaseprotected
validationSetAccuracy (defined in MLBase)MLBaseprotected
validationSetPrecision (defined in MLBase)MLBaseprotected
validationSetRecall (defined in MLBase)MLBaseprotected
validationSetSize (defined in MLBase)MLBaseprotected
warningLog (defined in GRTBase)GRTBaseprotected
~GRTBase(void)GRTBasevirtual
~MLBase(void)MLBasevirtual
~MovementDetector() (defined in MovementDetector)MovementDetectorvirtual
~Observer() (defined in Observer< TrainingResult >)Observer< TrainingResult >inlinevirtual
~Observer() (defined in Observer< TestInstanceResult >)Observer< TestInstanceResult >inlinevirtual