GestureRecognitionToolkit
Version: 0.1.0
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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operator()() :
CircularBuffer< T >
,
ParticleFilter< PARTICLE, SENSOR_DATA >
operator<<() :
GestureRecognitionPipeline
operator=() :
AdaBoost
,
ANBC
,
BAG
,
CircularBuffer< T >
,
ClassificationData
,
ClassificationDataStream
,
ClassificationResult
,
ClassLabelChangeFilter
,
ClassLabelFilter
,
ClassLabelTimeoutFilter
,
ClusterTree
,
DeadZone
,
DecisionStump
,
DecisionTree
,
Derivative
,
DoubleMovingAverageFilter
,
DTW
,
FFT
,
FFTFeatures
,
FiniteStateMachine
,
FIRFilter
,
GaussianMixtureModels
,
GestureRecognitionPipeline
,
GMM
,
GRT::TestInstanceResult
,
GRT::TrainingDataRecordingTimer
,
GRT::TrainingResult
,
HierarchicalClustering
,
HighPassFilter
,
HMM
,
KMeans
,
KMeansFeatures
,
KMeansQuantizer
,
KNN
,
LDA
,
LeakyIntegrator
,
LinearRegression
,
LogisticRegression
,
LowPassFilter
,
Matrix< T >
,
MatrixFloat
,
MedianFilter
,
MinDist
,
MinDistModel
,
MLP
,
MovementIndex
,
MovementTrajectoryFeatures
,
MovingAverageFilter
,
MultidimensionalRegression
,
ParticleClassifier
,
ParticleFilter< PARTICLE, SENSOR_DATA >
,
PSOParticle< OBSERVATION_TYPE >
,
RadialBasisFunction
,
RandomForests
,
RangeTracker
,
RBMQuantizer
,
RegressionData
,
RegressionTree
,
SavitzkyGolayFilter
,
SelfOrganizingMap
,
Softmax
,
SOMQuantizer
,
SVM
,
SwipeDetector
,
ThresholdCrossingDetector
,
TimeDomainFeatures
,
TimeseriesBuffer
,
TimeSeriesClassificationData
,
TimeSeriesClassificationSampleTrimmer
,
TimeSeriesPositionTracker
,
UnlabelledData
,
Vector< T >
,
VectorFloat
,
WeakClassifier
,
WeightedAverageFilter
,
ZeroCrossingCounter
operator[]() :
CircularBuffer< T >
,
ClassificationData
,
ClassificationDataStream
,
EvolutionaryAlgorithm< INDIVIDUAL >
,
Matrix< T >
,
ParticleFilter< PARTICLE, SENSOR_DATA >
,
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
,
RegressionData
,
TimeSeriesClassificationData
,
UnlabelledData
orthes() :
EigenvalueDecomposition
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