Uses of Class
frog.Accel3D

Packages that use Accel3D

frog
frog.gui
frog.plugin

Uses of Accel3D in frog

Fields in frog declared as Accel3D

protected Accel3D[]	Kmeans.means
protected Accel3D[]	Kmeans.oldMeans

Fields in frog with type parameters of type Accel3D

(package private) static Vector<Vector<Accel3D>>	ClassifierTestFile.circles
(package private) static Vector<Vector<Accel3D>>	ClassifierTestFile.squares
protected Vector<Accel3D>	Kmeans.trainingSet
(package private) static Vector<Vector<Accel3D>>	ClassifierTestFile.triangles

Methods in frog that return Accel3D

Accel3D	DirectorialEquivalence.filter(Accel3D acc)
Accel3D	Filter.filter(Accel3D acc) Takes in a sample and returns either the unchanged sample or null depending on the Filter's criteria.
Accel3D	IdleState.filter(Accel3D acc)
Accel3D	AccelEvent.getAcceleration() Returns the acceleration contained in this AccelEvent.
Accel3D[]	Kmeans.getMeans() Returns the array of Accel3Ds making up the means for this Quantizer.

Methods in frog that return types with arguments of type Accel3D

Vector<Accel3D>	Kmeans.getDataSet()
Vector<Accel3D>	Quantizer.getDataSet() Accessor for the data set utilized by this Quantizer.
Vector<Vector<Accel3D>>	GestureModel.getTrainingSet() Accessor for the training set of gesture instances associated with this GestureModel
Vector<Vector<Accel3D>>	GestureHMM.getTrainingSet()

Methods in frog with parameters of type Accel3D

void	Accel3D.add(Accel3D other) Performs vector addition on this object using another Accel3D object.
boolean	GestureModel.addAccel(int inum, Accel3D acc) Adds an additional Accel3D to the end of a gesture instance.
boolean	GestureHMM.addAccel(int inum, Accel3D acc)
double	Accel3D.distanceFrom(Accel3D other) Finds the distance between this Accel3D and another.
Accel3D	DirectorialEquivalence.filter(Accel3D acc)
Accel3D	Filter.filter(Accel3D acc) Takes in a sample and returns either the unchanged sample or null depending on the Filter's criteria.
Accel3D	IdleState.filter(Accel3D acc)
int	Kmeans.translate(Accel3D acc) For Kmeans, translates to the index of the closest mean determined by the k-means algorithm.
int	Quantizer.translate(Accel3D acc) Translates a 3D acceleration into its appropriate representative.

Method parameters in frog with type arguments of type Accel3D

void	GestureModel.addInstance(Vector<Accel3D> instance) Adds an entire gesture instance to the gesture set.
void	GestureHMM.addInstance(Vector<Accel3D> instance)
GestureModel	Classifier.classify(Vector<Accel3D> g) Classifies a given gesture against the Classifier's set of GestureModels.
GestureModel	Bayesian.classify(Vector<Accel3D> g)
static void	ClassifierTestFile.fillSet(Vector<Vector<Accel3D>> set)
double	GestureModel.getProbability(Vector<Accel3D> instance) Computes and returns the probability with which the given gesture instance matches with this GestureModel.
double	GestureHMM.getProbability(Vector<Accel3D> instance) For GestureHMM, probability is computed using the forward algorithm.
void	Kmeans.setDataSet(Vector<Accel3D> data)
void	Quantizer.setDataSet(Vector<Accel3D> data) Sets the data set to use in this Quantizer.

Constructors in frog with parameters of type Accel3D

AccelEvent(Device device, Accel3D a)
Creates an AccelEvent with a source device and acceleration value.

Constructor parameters in frog with type arguments of type Accel3D

GestureHMM(String n, GestureHMMParameters gParams, KmeansParameters kParams, Vector<Vector<Accel3D>> instances)
Constructs a GestureHMM with a name, training parameters, quantizer parameters (Kmeans in particular), and a training set.

GestureHMM(String n, GestureHMMParameters gParams, KmeansParameters kParams, Vector<Vector<Accel3D>> instances, byte[] iconBuf)
Constructs a GestureHMM with a name, training parameters, a gesture set, and an image.

GestureHMM(String n, GestureHMMParameters gParams, Vector<Vector<Accel3D>> instances)
Constructs a GestureHMM with a name, training parameters, as well as a gesture set.

GestureHMM(String n, GestureHMMParameters gParams, Vector<Vector<Accel3D>> instances, byte[] iconBuf)
Constructs a GestureHMM with a name, training parameters, a gesture set, and an image.

GestureHMM(String n, Vector<Vector<Accel3D>> instances)
Constructs a GestureHMM with a name and gesture set as well as default training parameters.

Kmeans(KmeansParameters params, Vector<Accel3D> in)
Constructs a Kmeans quantizer with a given set of k-means parameters and a 3D acceleration data set.

Kmeans(Vector<Accel3D> in)
Constructs a Kmeans quantizer with a given 3D acceleration data set.

Uses of Accel3D in frog.gui

Methods in frog.gui with parameters of type Accel3D

void	Plot2D.addAccel(Accel3D a3d) Adds a new Accel3D to the graph.
void	Plot3D.addVector(Accel3D a3d) Adds another vector to be drawn to this graph.

Method parameters in frog.gui with type arguments of type Accel3D

void	Plot3D.setPlot(Vector<Accel3D> set) Unlike addVector(Accel3D), graphs an entire set of Accel3D's in one pass.
void	Plot2D.setPlot(Vector<Accel3D> instance) Sets the plot to a series of values.

Uses of Accel3D in frog.plugin

Methods in frog.plugin with parameters of type Accel3D

void	Device.notifyAcceleration(Accel3D acc) Give the Device the most recent acceleration performed so it can notify anything listening on it.