Commit 3b678428 authored by James Frink's avatar James Frink
Browse files

add start of Bitalino example

parent 6aa0892a
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# Attempt to load a config.make file.
# If none is found, project defaults in config.project.make will be used.
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# make sure the the OF_ROOT location is defined
ifndef OF_ROOT
OF_ROOT=$(realpath ../../../../../Documents/of_v0.9.8_osx_release)
endif
# call the project makefile!
include $(OF_ROOT)/libs/openFrameworksCompiled/project/makefileCommon/compile.project.mk
//THE PATH TO THE ROOT OF OUR OF PATH RELATIVE TO THIS PROJECT.
//THIS NEEDS TO BE DEFINED BEFORE CoreOF.xcconfig IS INCLUDED
OF_PATH = ../../../../../Documents/of_v0.9.8_osx_release
//THIS HAS ALL THE HEADER AND LIBS FOR OF CORE
#include "../../../../../Documents/of_v0.9.8_osx_release/libs/openFrameworksCompiled/project/osx/CoreOF.xcconfig"
//ICONS - NEW IN 0072
ICON_NAME_DEBUG = icon-debug.icns
ICON_NAME_RELEASE = icon.icns
ICON_FILE_PATH = $(OF_PATH)/libs/openFrameworksCompiled/project/osx/
//IF YOU WANT AN APP TO HAVE A CUSTOM ICON - PUT THEM IN YOUR DATA FOLDER AND CHANGE ICON_FILE_PATH to:
//ICON_FILE_PATH = bin/data/
OTHER_LDFLAGS = $(OF_CORE_LIBS) $(OF_CORE_FRAMEWORKS)
HEADER_SEARCH_PATHS = $(OF_CORE_HEADERS)
################################################################################
# CONFIGURE PROJECT MAKEFILE (optional)
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################################################################################
################################################################################
# OF ROOT
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/**
* Gesture Variation Follower class allows for early gesture recognition and variation tracking
*
* @details Original algorithm designed and implemented in 2011 at Ircam Centre Pompidou
* by Baptiste Caramiaux and Nicola Montecchio. The library has been created and is maintained by Baptiste Caramiaux
*
* Copyright (C) 2015 Baptiste Caramiaux, Nicola Montecchio
* STMS lab Ircam-CRNS-UPMC, University of Padova, Goldsmiths College University of London
*
* The library is under the GNU Lesser General Public License (LGPL v3)
*/
#ifndef _H_GVF
#define _H_GVF
#include "GVFUtils.h"
#include "GVFGesture.h"
#include <random>
#include <iostream>
#include <iomanip>
#include <string>
#include <map>
#include <random>
#include <cmath>
using namespace std;
class GVF
{
public:
/**
* GVF possible states
*/
enum GVFState
{
STATE_CLEAR = 0, /**< STATE_CLEAR: clear the GVF and be in standby */
STATE_LEARNING, /**< STATE_LEARNING: recording mode, input gestures are added to the templates */
STATE_FOLLOWING, /**< STATE_FOLLOWING: tracking mode, input gestures are classifed and their variations tracked (need the GVF to be trained) */
STATE_BYPASS /**< STATE_BYPASS: by pass GVF but does not erase templates or training */
};
#pragma mark - Constructors
/**
* GVF default constructor
* @details use default configuration and parameters, can be changed using accessors
*/
GVF();
/**
* GVF default destructor
*/
~GVF();
#pragma mark - Gesture templates
/**
* Start a gesture either to be recorded or followed
*/
void startGesture();
/**
* Add an observation to a gesture template
* @details
* @param data vector of features
*/
void addObservation(vector<float> data);
/**
* Add gesture template to the vocabulary
*
* @details a gesture template is a GVFGesture object and can be added directly to the vocabulqry or
* recorded gesture templates by using this method
* @param gestureTemplate the gesture template to be recorded
*/
void addGestureTemplate(GVFGesture & gestureTemplate);
/**
* Replace a specific gesture template by another
*
* @param gestureTemplate the gesture template to be used
* @param index the gesture index (as integer) to be replaced
*/
void replaceGestureTemplate(GVFGesture & gestureTemplate, int index);
/**
* Remove a specific template
*
* @param index the gesture index (as integer) to be removed
*/
void removeGestureTemplate(int index);
/**
* Remove every recorded gesture template
*/
void removeAllGestureTemplates();
/**
* Get a specific gesture template a gesture template by another
*
* @param index the index of the template to be returned
* @return the template
*/
GVFGesture & getGestureTemplate(int index);
/**
* Get every recorded gesture template
*
* @return the vecotr of gesture templates
*/
vector<GVFGesture> & getAllGestureTemplates();
/**
* Get number of gesture templates in the vocabulary
* @return the number of templates
*/
int getNumberOfGestureTemplates();
/**
* Get gesture classes
*/
vector<int> getGestureClasses();
#pragma mark - Recognition and tracking
/**
* Set the state of GVF
* @param _state the state to be given to GVF, it is a GVFState
* @param indexes an optional argument providing a list of gesture index.
* In learning mode the index of the gesture being recorded can be given as an argument
* since the type is vector<int>, it should be something like '{3}'. In following mode, the list of indexes
* is the list of active gestures to be considered in the recognition/tracking.
*/
void setState(GVFState _state, vector<int> indexes = vector<int>());
/**
* Return the current state of GVF
* @return GVFState the current state
*/
GVFState getState();
/**
* Compute the estimated gesture and its potential variations
*
* @details infers the probability that the current observation belongs to
* one of the recorded gesture template and track the variations of this gesture
* according to each template
*
* @param observation vector of the observation data at current time
* @return the estimated probabilities and variaitons relative to each template
*/
GVFOutcomes & update(vector<float> & observation);
/**
* Define a subset of gesture templates on which to perform the recognition
* and variation tracking
*
* @details By default every recorded gesture template is considered
* @param set of gesture template index to consider
*/
void setActiveGestures(vector<int> activeGestureIds);
/**
* Restart GVF
* @details re-sample particles at the origin (i.e. initial prior)
*/
void restart();
/**
* Clear GVF
* @details delete templates
*/
void clear();
/**
* Translate data according to the first point
* @details substract each gesture feature by the first point of the gesture
* @param boolean to activate or deactivate translation
*/
void translate(bool translateFlag);
/**
* Segment gestures within a continuous gesture stream
* @details if segmentation is true, the method will segment a continuous gesture into a sequence
* of gestures. In other words no need to call the method startGesture(), it is done automatically
* @param segmentationFlag boolean to activate or deactivate segmentation
*/
void segmentation(bool segmentationFlag);
#pragma mark - [ Accessors ]
#pragma mark > Parameters
/**
* Set tolerance between observation and estimation
* @details tolerance depends on the range of the data
* typially tolerance = (data range)/3.0;
* @param tolerance value
*/
void setTolerance(float tolerance);
/**
* Get the obervation tolerance value
* @details see setTolerance(float tolerance)
* @return the current toleranc value
*/
float getTolerance();
void setDistribution(float _distribution);
/**
* Set number of particles used in estimation
* @details default valye is 1000, note that the computational
* cost directly depends on the number of particles
* @param new number of particles
*/
void setNumberOfParticles(int numberOfParticles);
/**
* Get the current number of particles
* @return the current number of particles
*/
int getNumberOfParticles();
/**
* Number of prediciton steps
* @details it is possible to leave GVF to perform few steps of prediction
* ahead which can be useful to estimate more fastly the variations. Default value is 1
* which means no prediction ah