Inheritance diagram for MovementTrajectoryFeatures:

Public Types
enum	FeatureModes { CENTROID_VALUE =0, NORMALIZED_CENTROID_VALUE, CENTROID_DERIVATIVE, CENTROID_ANGLE_2D }

Public Types inherited from FeatureExtraction
typedef std::map< std::string, FeatureExtraction ()() >	StringFeatureExtractionMap

Public Types inherited from MLBase
enum	BaseTypes { BASE_TYPE_NOT_SET =0, CLASSIFIER, REGRESSIFIER, CLUSTERER }

Public Member Functions
	MovementTrajectoryFeatures (UINT trajectoryLength=100, UINT numCentroids=10, UINT featureMode=CENTROID_VALUE, UINT numHistogramBins=10, UINT numDimensions=1, bool useTrajStartAndEndValues=false, bool useWeightedMagnitudeValues=true)

	MovementTrajectoryFeatures (const MovementTrajectoryFeatures &rhs)

virtual	~MovementTrajectoryFeatures ()

MovementTrajectoryFeatures &	operator= (const MovementTrajectoryFeatures &rhs)

virtual bool	deepCopyFrom (const FeatureExtraction *featureExtraction)

virtual bool	computeFeatures (const VectorFloat &inputVector)

virtual bool	reset ()

virtual bool	saveModelToFile (std::string filename) const

virtual bool	loadModelFromFile (std::string filename)

virtual bool	saveModelToFile (std::fstream &file) const

virtual bool	loadModelFromFile (std::fstream &file)

bool	init (UINT trajectoryLength, UINT numCentroids, UINT featureMode, UINT numHistogramBins, UINT numDimensions, bool useTrajStartAndEndValues, bool useWeightedMagnitudeValues)

VectorFloat	update (Float x)

VectorFloat	update (const VectorFloat &x)

CircularBuffer< VectorFloat >	getTrajectoryData ()

MatrixDouble	getCentroids ()

UINT	getFeatureMode ()

Public Member Functions inherited from FeatureExtraction
	FeatureExtraction ()

virtual	~FeatureExtraction ()

bool	copyBaseVariables (const FeatureExtraction *featureExtractionModule)

virtual bool	computeFeatures (const MatrixFloat &inputMatrix)

virtual bool	clear ()

std::string	getFeatureExtractionType () const

UINT	getNumInputDimensions () const

UINT	getNumOutputDimensions () const

bool	getInitialized () const

bool	getFeatureDataReady () const

const VectorFloat &	getFeatureVector () const

const MatrixFloat &	getFeatureMatrix () const

FeatureExtraction *	createNewInstance () const

Public Member Functions inherited from MLBase
	MLBase (void)

virtual	~MLBase (void)

bool	copyMLBaseVariables (const MLBase *mlBase)

virtual bool	train (ClassificationData trainingData)

virtual bool	train_ (ClassificationData &trainingData)

virtual bool	train (RegressionData trainingData)

virtual bool	train_ (RegressionData &trainingData)

virtual bool	train (TimeSeriesClassificationData trainingData)

virtual bool	train_ (TimeSeriesClassificationData &trainingData)

virtual bool	train (ClassificationDataStream trainingData)

virtual bool	train_ (ClassificationDataStream &trainingData)

virtual bool	train (UnlabelledData trainingData)

virtual bool	train_ (UnlabelledData &trainingData)

virtual bool	train (MatrixFloat data)

virtual bool	train_ (MatrixFloat &data)

virtual bool	predict (VectorFloat inputVector)

virtual bool	predict_ (VectorFloat &inputVector)

virtual bool	predict (MatrixFloat inputMatrix)

virtual bool	predict_ (MatrixFloat &inputMatrix)

virtual bool	map (VectorFloat inputVector)

virtual bool	map_ (VectorFloat &inputVector)

virtual bool	print () const

virtual bool	save (const std::string filename) const

virtual bool	load (const std::string filename)

virtual bool	save (std::fstream &file) const

virtual bool	load (std::fstream &file)

	GRT_DEPRECATED_MSG ("saveModelToFile(std::string filename) is deprecated, use save(std::string filename) instead", virtual bool saveModelToFile(std::string filename) const )

	GRT_DEPRECATED_MSG ("saveModelToFile(std::fstream &file) is deprecated, use save(std::fstream &file) instead", virtual bool saveModelToFile(std::fstream &file) const )

	GRT_DEPRECATED_MSG ("loadModelFromFile(std::string filename) is deprecated, use load(std::string filename) instead", virtual bool loadModelFromFile(std::string filename))

	GRT_DEPRECATED_MSG ("loadModelFromFile(std::fstream &file) is deprecated, use load(std::fstream &file) instead", virtual bool loadModelFromFile(std::fstream &file))

virtual bool	getModel (std::ostream &stream) const

Float	scale (const Float &x, const Float &minSource, const Float &maxSource, const Float &minTarget, const Float &maxTarget, const bool constrain=false)

virtual std::string	getModelAsString () const

DataType	getInputType () const

DataType	getOutputType () const

UINT	getBaseType () const

UINT	getNumInputFeatures () const

UINT	getNumInputDimensions () const

UINT	getNumOutputDimensions () const

UINT	getMinNumEpochs () const

UINT	getMaxNumEpochs () const

UINT	getValidationSetSize () const

UINT	getNumTrainingIterationsToConverge () const

Float	getMinChange () const

Float	getLearningRate () const

Float	getRootMeanSquaredTrainingError () const

Float	getTotalSquaredTrainingError () const

Float	getValidationSetAccuracy () const

VectorFloat	getValidationSetPrecision () const

VectorFloat	getValidationSetRecall () const

bool	getUseValidationSet () const

bool	getRandomiseTrainingOrder () const

bool	getTrained () const

bool	getModelTrained () const

bool	getScalingEnabled () const

bool	getIsBaseTypeClassifier () const

bool	getIsBaseTypeRegressifier () const

bool	getIsBaseTypeClusterer () const

bool	enableScaling (const bool useScaling)

bool	setMaxNumEpochs (const UINT maxNumEpochs)

bool	setMinNumEpochs (const UINT minNumEpochs)

bool	setMinChange (const Float minChange)

bool	setLearningRate (const Float learningRate)

bool	setUseValidationSet (const bool useValidationSet)

bool	setValidationSetSize (const UINT validationSetSize)

bool	setRandomiseTrainingOrder (const bool randomiseTrainingOrder)

bool	setTrainingLoggingEnabled (const bool loggingEnabled)

bool	registerTrainingResultsObserver (Observer< TrainingResult > &observer)

bool	registerTestResultsObserver (Observer< TestInstanceResult > &observer)

bool	removeTrainingResultsObserver (const Observer< TrainingResult > &observer)

bool	removeTestResultsObserver (const Observer< TestInstanceResult > &observer)

bool	removeAllTrainingObservers ()

bool	removeAllTestObservers ()

bool	notifyTrainingResultsObservers (const TrainingResult &data)

bool	notifyTestResultsObservers (const TestInstanceResult &data)

MLBase *	getMLBasePointer ()

const MLBase *	getMLBasePointer () const

Vector< TrainingResult >	getTrainingResults () const

Public Member Functions inherited from GRTBase
	GRTBase (void)

virtual	~GRTBase (void)

bool	copyGRTBaseVariables (const GRTBase *GRTBase)

std::string	getClassType () const

std::string	getLastWarningMessage () const

std::string	getLastErrorMessage () const

std::string	getLastInfoMessage () const

bool	setInfoLoggingEnabled (const bool loggingEnabled)

bool	setWarningLoggingEnabled (const bool loggingEnabled)

bool	setErrorLoggingEnabled (const bool loggingEnabled)

GRTBase *	getGRTBasePointer ()

const GRTBase *	getGRTBasePointer () const

Public Member Functions inherited from Observer< TrainingResult >
virtual void	notify (const TrainingResult &data)

Public Member Functions inherited from Observer< TestInstanceResult >
virtual void	notify (const TestInstanceResult &data)

Protected Attributes
UINT	trajectoryLength

UINT	numCentroids

UINT	featureMode

UINT	numHistogramBins

bool	useTrajStartAndEndValues

bool	useWeightedMagnitudeValues

CircularBuffer< VectorFloat >	trajectoryDataBuffer

MatrixDouble	centroids

Protected Attributes inherited from FeatureExtraction
std::string	featureExtractionType

bool	initialized

bool	featureDataReady

VectorFloat	featureVector

MatrixFloat	featureMatrix

Protected Attributes inherited from MLBase
bool	trained

bool	useScaling

DataType	inputType

DataType	outputType

UINT	baseType

UINT	numInputDimensions

UINT	numOutputDimensions

UINT	numTrainingIterationsToConverge

UINT	minNumEpochs

UINT	maxNumEpochs

UINT	validationSetSize

Float	learningRate

Float	minChange

Float	rootMeanSquaredTrainingError

Float	totalSquaredTrainingError

Float	validationSetAccuracy

bool	useValidationSet

bool	randomiseTrainingOrder

VectorFloat	validationSetPrecision

VectorFloat	validationSetRecall

Random	random

std::vector< TrainingResult >	trainingResults

TrainingResultsObserverManager	trainingResultsObserverManager

TestResultsObserverManager	testResultsObserverManager

Protected Attributes inherited from GRTBase
std::string	classType

DebugLog	debugLog

ErrorLog	errorLog

InfoLog	infoLog

TrainingLog	trainingLog

TestingLog	testingLog

WarningLog	warningLog

Static Protected Attributes
static RegisterFeatureExtractionModule< MovementTrajectoryFeatures >	registerModule

Additional Inherited Members
Static Public Member Functions inherited from FeatureExtraction
static FeatureExtraction *	createInstanceFromString (const std::string &featureExtractionType)

Static Public Member Functions inherited from GRTBase
static std::string	getGRTVersion (bool returnRevision=true)

static std::string	getGRTRevison ()

Protected Member Functions inherited from FeatureExtraction
bool	init ()

bool	saveFeatureExtractionSettingsToFile (std::fstream &file) const

bool	loadFeatureExtractionSettingsFromFile (std::fstream &file)

Protected Member Functions inherited from MLBase
bool	saveBaseSettingsToFile (std::fstream &file) const

bool	loadBaseSettingsFromFile (std::fstream &file)

Protected Member Functions inherited from GRTBase
Float	SQR (const Float &x) const

Static Protected Member Functions inherited from FeatureExtraction
static StringFeatureExtractionMap *	getMap ()

Detailed Description

Definition at line 47 of file MovementTrajectoryFeatures.h.

Constructor & Destructor Documentation

MovementTrajectoryFeatures::MovementTrajectoryFeatures	(	UINT	trajectoryLength = `100`,
		UINT	numCentroids = `10`,
		UINT	featureMode = `CENTROID_VALUE`,
		UINT	numHistogramBins = `10`,
		UINT	numDimensions = `1`,
		bool	useTrajStartAndEndValues = `false`,
		bool	useWeightedMagnitudeValues = `true`
	)

Default Constructor.

Definition at line 29 of file MovementTrajectoryFeatures.cpp.

MovementTrajectoryFeatures::MovementTrajectoryFeatures ( const MovementTrajectoryFeatures & rhs )

Copy constructor, copies the MovementTrajectoryFeatures from the rhs instance to this instance.

Parameters

rhs	another instance of the MovementTrajectoryFeatures class from which the data will be copied to this instance

Definition at line 40 of file MovementTrajectoryFeatures.cpp.

MovementTrajectoryFeatures::~MovementTrajectoryFeatures ( )

virtual

Default Destructor

Definition at line 52 of file MovementTrajectoryFeatures.cpp.

Member Function Documentation

bool MovementTrajectoryFeatures::computeFeatures ( const VectorFloat & inputVector )

virtual

Sets the FeatureExtraction computeFeatures function, overwriting the base FeatureExtraction function. This function is called by the GestureRecognitionPipeline when any new input data needs to be processed (during the prediction phase for example). This function calls the MovementTrajectoryFeatures's update function.

Parameters

inputVector the inputVector that should be processed. Must have the same dimensionality as the FeatureExtraction module

Returns: returns true if the data was processed, false otherwise

Reimplemented from FeatureExtraction.

Definition at line 90 of file MovementTrajectoryFeatures.cpp.

bool MovementTrajectoryFeatures::deepCopyFrom ( const FeatureExtraction * featureExtraction )

virtual

Sets the FeatureExtraction deepCopyFrom function, overwriting the base FeatureExtraction function. This function is used to deep copy the values from the input pointer to this instance of the FeatureExtraction module. This function is called by the GestureRecognitionPipeline when the user adds a new FeatureExtraction module to the pipeline.

Parameters

featureExtraction a pointer to another instance of a MovementTrajectoryFeatures, the values of that instance will be cloned to this instance

Returns: returns true if the deep copy was successful, false otherwise

Reimplemented from FeatureExtraction.

Definition at line 73 of file MovementTrajectoryFeatures.cpp.

MatrixFloat MovementTrajectoryFeatures::getCentroids ( )

Gets a matrix containing the centroids of the trajectory data. Each row represents the centroids from a subsection of the trajectory data, each column represents a dimension.

Returns: returns a MatrixDouble containing the centroids of the trajectory data

Definition at line 482 of file MovementTrajectoryFeatures.cpp.

UINT MovementTrajectoryFeatures::getFeatureMode ( )

Gets an unsigned int representing the current feature mode. This will be one of the FeatureModes enums.

Returns: returns the current feature mode

Definition at line 489 of file MovementTrajectoryFeatures.cpp.

CircularBuffer< VectorFloat > MovementTrajectoryFeatures::getTrajectoryData ( )

Gets the current values in the trajectory buffer. An empty circular buffer will be returned if the feature extraction module has not been initialized.

Returns: returns a curcular buffer containing the data buffer values, an empty circular buffer will be returned if the feature extraction module has not been initialized

Definition at line 475 of file MovementTrajectoryFeatures.cpp.

bool MovementTrajectoryFeatures::init	(	UINT	trajectoryLength,
		UINT	numCentroids,
		UINT	featureMode,
		UINT	numHistogramBins,
		UINT	numDimensions,
		bool	useTrajStartAndEndValues,
		bool	useWeightedMagnitudeValues
	)

Initializes the MovementTrajectoryFeatures

Definition at line 244 of file MovementTrajectoryFeatures.cpp.

bool MovementTrajectoryFeatures::loadModelFromFile ( std::string filename )

virtual

This saves the feature extraction settings to a file.

Parameters

file	a reference to the file to save the settings to

Returns: returns true if the settings were saved successfully, false otherwise

Definition at line 128 of file MovementTrajectoryFeatures.cpp.

bool MovementTrajectoryFeatures::loadModelFromFile ( std::fstream & file )

virtual

This loads the feature extraction settings from a file. This overrides the loadSettingsFromFile function in the FeatureExtraction base class.

Parameters

file	a reference to the file to load the settings from

Returns: returns true if the settings were loaded successfully, false otherwise

Reimplemented from FeatureExtraction.

Definition at line 170 of file MovementTrajectoryFeatures.cpp.

MovementTrajectoryFeatures & MovementTrajectoryFeatures::operator= ( const MovementTrajectoryFeatures & rhs )

Sets the equals operator, copies the data from the rhs instance to this instance.

Parameters

rhs	another instance of the MovementTrajectoryFeatures class from which the data will be copied to this instance

Returns: a reference to this instance of MovementTrajectoryFeatures

Definition at line 56 of file MovementTrajectoryFeatures.cpp.

bool MovementTrajectoryFeatures::reset ( )

virtual

Sets the FeatureExtraction reset function, overwriting the base FeatureExtraction function. This function is called by the GestureRecognitionPipeline when the pipelines main reset() function is called. This function resets the feature extraction by re-initiliazing the instance.

Returns: true if the filter was reset, false otherwise

Reimplemented from FeatureExtraction.

Definition at line 107 of file MovementTrajectoryFeatures.cpp.

bool MovementTrajectoryFeatures::saveModelToFile ( std::string filename ) const

virtual

This saves the feature extraction settings to a file.

Parameters

filename the filename to save the settings to

Returns: returns true if the settings were saved successfully, false otherwise

Definition at line 114 of file MovementTrajectoryFeatures.cpp.

bool MovementTrajectoryFeatures::saveModelToFile ( std::fstream & file ) const

virtual

This saves the feature extraction settings to a file. This overrides the saveSettingsToFile function in the FeatureExtraction base class.

Parameters

file	a reference to the file to save the settings to

Returns: returns true if the settings were saved successfully, false otherwise

Reimplemented from FeatureExtraction.

Definition at line 143 of file MovementTrajectoryFeatures.cpp.

VectorFloat MovementTrajectoryFeatures::update ( Float x )

Computes the features from the input, this should only be called if the dimensionality of this instance was set to 1.

Parameters

x	the value to compute features from, this should only be called if the dimensionality of the filter was set to 1

Returns: a vector containing the features, an empty vector will be returned if the features were not computed

Definition at line 325 of file MovementTrajectoryFeatures.cpp.

VectorFloat MovementTrajectoryFeatures::update ( const VectorFloat & x )

Computes the features from the input, the dimensionality of x should match that of this instance.

Parameters

x	a vector containing the values to be processed, must be the same size as the numInputDimensions

Returns: a vector containing the features, an empty vector will be returned if the features were not computed

Definition at line 329 of file MovementTrajectoryFeatures.cpp.

The documentation for this class was generated from the following files:

Public Types

Public Member Functions

Protected Attributes

Static Protected Attributes

Additional Inherited Members

Detailed Description

Constructor & Destructor Documentation

Member Function Documentation