reference

#Gesture Recognition Toolkit

You can find the doxygen generated documentation for the GRT here. The links below provide a higher level description of the core classes in the GRT, including an overview of what the classes do, how they do it, the main advantages and disadvantages of using that class over a similar class, and some example code to demonstrate how to use the class.

##Graphical User Interface

• GUI

##Data Structures

• Vector
• Matrix
• VectorFloat
• MatrixFloat
• ClassificationData
• TimeSeriesClassificationData
• TimeSeriesClassificationDataStream
• RegressionData
• UnlabelledData

###Classifiers

• Adaboost
• Adaptive Naive Bayes Classifier (ANBC)
• Bootstrap Aggregator (BAG)
• Decision Tree
• Dynamic Time Warping (DTW)
• Gaussian Mixture Models (GMM)
• Hidden Markov Models (HMM Discrete)
• Hidden Markov Models (HMM Continuous)
• K-Nearest Neighbors (KNN)
• MinDist
• Random Forests
• Support Vector Machine (SVM)
• Softmax

###Regressifiers

• Linear Regression
• Logistic Regression
• MLP
• Multidimensional Regression

###Feature Extraction

• FFT
• FFT Features
• KMeans Quantizer
• Movement Index
• Movement Trajectory Features
• PCA
• Zero Crossing Counter

###Pre Processing

• Moving Average Filter
• Double Moving Average Filter
• Low Pass Filter
• High Pass Filter
• Derivative
• Dead Zone
• Savitzky-Golay Filter

###Post Processing

• Class Label Filter
• Class Label Change Filter
• Class Label Timeout Filter