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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a
b
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u
v
w
x
y
- a -
a :
ContinuousHiddenMarkovModel
allowNullGestureClass :
TimeSeriesClassificationData
- b -
b :
ContinuousHiddenMarkovModel
baseLoggingEnabled :
Log
buffer :
ClassLabelFilter
bufferSize :
ClassLabelFilter
- c -
capacity :
Matrix< T >
classId :
GRTBase
classLabel :
ContinuousHiddenMarkovModel
classTracker :
TimeSeriesClassificationData
cols :
Matrix< T >
computeMagnitude :
FFT
computePhase :
FFT
crossValidationIndexs :
TimeSeriesClassificationData
crossValidationSetup :
TimeSeriesClassificationData
cThreshold :
ContinuousHiddenMarkovModel
cumsum :
ParticleFilter< PARTICLE, SENSOR_DATA >
- d -
data :
Dict
,
TimeSeriesClassificationData
dataBuffer :
FFT
,
MedianFilter
,
MovingAverageFilter
,
RMSFilter
,
TimeseriesBuffer
,
WeightedAverageFilter
,
ZeroCrossingCounter
dataBufferSize :
FFT
dataPtr :
Matrix< T >
datasetName :
ClassificationDataStream
,
TimeSeriesClassificationData
deadZone :
ZeroCrossingCounter
deadZoneThreshold :
ZeroCrossingCounter
debugLog :
ClassificationDataStream
,
TimeSeriesClassificationData
debugLoggingEnabled :
DebugLog
decisionFeatureIndex :
DecisionStump
decisionValue :
DecisionStump
delta :
ContinuousHiddenMarkovModel
,
Derivative
derivative :
ZeroCrossingCounter
derivativeOrder :
Derivative
direction :
DecisionStump
distanceMethod :
KNN
- e -
errorLog :
ClassificationDataStream
,
TimeSeriesClassificationData
estimatedStates :
ContinuousHiddenMarkovModel
estimationLikelihood :
ParticleFilter< PARTICLE, SENSOR_DATA >
estimationMode :
ParticleFilter< PARTICLE, SENSOR_DATA >
externalRanges :
ClassificationDataStream
,
TimeSeriesClassificationData
- f -
featureMode :
ZeroCrossingCounter
fft :
FFT
fftWindowFunction :
FFT
fftWindowSize :
FFT
filter :
Derivative
filter1 :
DoubleMovingAverageFilter
filter2 :
DoubleMovingAverageFilter
filterData :
Derivative
filteredClassLabel :
ClassLabelFilter
filterFactor :
HighPassFilter
,
LowPassFilter
filterSize :
Derivative
,
DoubleMovingAverageFilter
,
MedianFilter
,
MovingAverageFilter
,
RMSFilter
,
WeightedAverageFilter
finalX :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
frac :
GaussianMixtureModels
- g -
gain :
HighPassFilter
,
LowPassFilter
globalBestCost :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
globalBestX :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
globalBestXHistory :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
- h -
hmmType :
HMM
hopCounter :
FFT
hopSize :
FFT
- i -
infoText :
ClassificationDataStream
,
TimeSeriesClassificationData
initialized :
ParticleFilter< PARTICLE, SENSOR_DATA >
,
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
initMode :
ParticleFilter< PARTICLE, SENSOR_DATA >
initModel :
ParticleFilter< PARTICLE, SENSOR_DATA >
inputSampleCounter :
MedianFilter
,
MovingAverageFilter
,
RMSFilter
,
WeightedAverageFilter
instanceLoggingEnabled :
Log
iterHistory :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
- k -
K :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
key :
Log
kFoldValue :
TimeSeriesClassificationData
- l -
lastMessage :
Log
lastMessagePtr :
Log
leakRate :
LeakyIntegrator
lndets :
GaussianMixtureModels
loggingEnabledPtr :
Log
loglike :
GaussianMixtureModels
loglikelihood :
ContinuousHiddenMarkovModel
lowerLimit :
DeadZone
- m -
maxKSearchValue :
KNN
measurementNoise :
ParticleFilter< PARTICLE, SENSOR_DATA >
minimumCount :
ClassLabelFilter
minimumWeightThreshold :
ParticleFilter< PARTICLE, SENSOR_DATA >
minKSearchValue :
KNN
modelType :
ContinuousHiddenMarkovModel
mu :
GaussianMixtureModels
- n -
nchg :
KMeans
normWeights :
ParticleFilter< PARTICLE, SENSOR_DATA >
numClusters :
Clusterer
numDimensions :
ClassificationDataStream
,
TimeSeriesClassificationData
numInputDimensions :
WeakClassifier
numParticles :
ParticleFilter< PARTICLE, SENSOR_DATA >
numRandomSplits :
DecisionStump
numRestarts :
GaussianMixtureModels
numStates :
ContinuousHiddenMarkovModel
numTrainingSamples :
GaussianMixtureModels
,
KMeans
- o -
observationSequence :
ContinuousHiddenMarkovModel
options :
CommandLineParser
- p -
parsed :
CommandLineParser
particleDistributionA :
ParticleFilter< PARTICLE, SENSOR_DATA >
particleDistributionB :
ParticleFilter< PARTICLE, SENSOR_DATA >
particles :
ParticleFilter< PARTICLE, SENSOR_DATA >
,
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
pe :
FiniteStateMachine
pi :
ContinuousHiddenMarkovModel
predictedClusterLabel :
Clusterer
processNoise :
ParticleFilter< PARTICLE, SENSOR_DATA >
propagationModel :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
pt :
FiniteStateMachine
- r -
rand :
ParticleFilter< PARTICLE, SENSOR_DATA >
registerModule :
DecisionStump
,
RadialBasisFunction
resampleThreshold :
ParticleFilter< PARTICLE, SENSOR_DATA >
resp :
GaussianMixtureModels
results :
CommandLineParser
robustMeanWeightDistance :
ParticleFilter< PARTICLE, SENSOR_DATA >
rowPtr :
Matrix< T >
rows :
Matrix< T >
- s -
searchForBestKValue :
KNN
searchWindowSize :
ZeroCrossingCounter
sigmaStates :
ContinuousHiddenMarkovModel
size :
Matrix< T >
stateVectorSize :
ParticleFilter< PARTICLE, SENSOR_DATA >
- t -
tempBuffer :
FFT
timeseriesLength :
ContinuousHiddenMarkovModel
totalNumSamples :
TimeSeriesClassificationData
trained :
WeakClassifier
trainingData :
KNN
trainingMu :
KNN
trainingSigma :
KNN
tree :
RegressionTree
- u -
upperLimit :
DeadZone
useExternalRanges :
ClassificationDataStream
,
TimeSeriesClassificationData
- v -
verbose :
ParticleFilter< PARTICLE, SENSOR_DATA >
- w -
w :
LogisticRegression
w0 :
LogisticRegression
warningLog :
ClassificationDataStream
,
TimeSeriesClassificationData
wDotProduct :
ParticleFilter< PARTICLE, SENSOR_DATA >
weakClassifierType :
WeakClassifier
weights :
WeightedAverageFilter
windowSizeMap :
FFT
wNorm :
ParticleFilter< PARTICLE, SENSOR_DATA >
writeKey :
Log
writeKeyPtr :
Log
- x -
x :
ParticleFilter< PARTICLE, SENSOR_DATA >
xMax :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
xMin :
ParticleSwarmOptimization< PARTICLE_TYPE, OBSERVATION_TYPE >
xx :
HighPassFilter
- y -
y :
LeakyIntegrator
yy :
Derivative
,
HighPassFilter
,
LowPassFilter
yyy :
Derivative
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