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.
TimeSeriesClassificationDataStream.h File Reference

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. More...

#include "../Util/GRTCommon.h"
#include "TimeSeriesPositionTracker.h"
#include "ClassificationData.h"
#include "TimeSeriesClassificationData.h"

Go to the source code of this file.

Classes

class  GRT::TimeSeriesClassificationDataStream
 

Namespaces

 GRT
 

Detailed Description

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.

Author
Nicholas Gillian ngill.nosp@m.ian@.nosp@m.media.nosp@m..mit.nosp@m..edu
Version
1.0

Definition in file TimeSeriesClassificationDataStream.h.