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GestureRecognitionToolkit
Version: 1.0 Revision: 04-03-15
The Gesture Recognition Toolkit (GRT) is a cross-platform, open-source, c++ machine learning library for real-time gesture recognition.
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Files | |
file | ClassificationData.cpp [code] |
file | ClassificationData.h [code] |
The ClassificationData is the main data structure for recording, labeling, managing, saving, and loading training data for supervised learning problems. | |
file | ClassificationSample.cpp [code] |
file | ClassificationSample.h [code] |
This class stores the class label and raw data for a single labelled classification sample. | |
file | RegressionData.cpp [code] |
file | RegressionData.h [code] |
The RegressionData is the main data structure for recording, labeling, managing, saving, and loading datasets that can be used to train and test the GRT supervised regression algorithms. | |
file | RegressionSample.cpp [code] |
file | RegressionSample.h [code] |
This class stores the input vector and target vector for a single labelled regression instance. | |
file | TimeSeriesClassificationData.cpp [code] |
file | TimeSeriesClassificationData.h [code] |
The TimeSeriesClassificationData is the main data structure for recording, labeling, managing, saving, and loading training data for supervised temporal learning problems. Unlike the ClassificationData, in which each sample consists of 1 N dimensional datum, a TimeSeriesClassificationData sample will consist of an N dimensional time series of length M. The length of each time series sample (i.e. M) can be different for each datum in the dataset. | |
file | TimeSeriesClassificationDataStream.cpp [code] |
file | TimeSeriesClassificationDataStream.h [code] |
The TimeSeriesClassificationDataStream is the main data structure for recording, labeling, managing, saving, and loading datasets that can be used to test the continuous classification abilities of the GRT supervised temporal learning algorithms. | |
file | TimeSeriesClassificationSample.cpp [code] |
file | TimeSeriesClassificationSample.h [code] |
This class stores the timeseries data for a single labelled timeseries classification sample. | |
file | TimeSeriesPositionTracker.h [code] |
This class can be used to track the class label, start and end indexs for labelled data. | |
file | UnlabelledData.cpp [code] |
file | UnlabelledData.h [code] |
The UnlabelledData class is the main data container for supporting unsupervised learning. | |