public CHnMMVerificationExperiment(string setName, int nTraining, bool session2, Configuration[] configs)
{
this.dataSourceName = setName;
this.nTraining = nTraining;
this.configs = configs;
this.session2 = session2;
var allSets = DataSets.getVerificationDataSet(setName, nTraining, session2);
this.trainingSet = allSets.First();
this.genuineSet = allSets.Skip(1).First();
this.forgerySet = allSets.Skip(2).First();
}
public VerificationExperiment(IVerificationSystem verifier /*, IVerificationSubsetCreator subsetCreator, ITraceDataProcessor traceProcessor*/, string setName)
{
gestureSetName = setName;
this.verifier = verifier;
//this.subsetCreator = subsetCreator;
//this.traceProcessor = traceProcessor;
var allSets = DataSets.getVerificationDataSet(gestureSetName);
trainingSet = allSets.First();
genuineSet = allSets.Skip(1).First();
forgerySet = allSets.Skip(2).First();
}
public GestureDataSet processAllGestures(GestureDataSet data)
{
return(data.ToDictionary(
e => e.Key,
e => e.Value.Select(t =>
{
if (t is Stroke)
{
var s = t as Stroke;
return (BaseTrajectory)(new Stroke(samplePoints(s.TrajectoryPoints), s.FingerID));
}
else
{
throw new NotImplementedException("This subclass of BaseTrajectory is currently not implemented here");
}
})));
}
public DollarExperiment(string setName, bool crossValidate, int nTrainingOrSubsets)
{
this.dataSourceName = setName;
this.nTrainingOrSubsets = nTrainingOrSubsets;
this.crossValidate = crossValidate;
ISubsetCreator subsetCreator = crossValidate ?
new CrossvalidationSubsetCreator(nTrainingOrSubsets) :
(ISubsetCreator) new SimpleSplitSubsetCreator(nTrainingOrSubsets);
GestureDataSet allGestures = DataSets.getTrajectoryDataSet(setName);
subsetCreator.createSubsets(allGestures);
trainingSubSets = subsetCreator.getTrainingSubsets();
testSubSets = subsetCreator.getTestSubsets();
}
public RecognitionExperiment(IRecognitionSystem recognizer, ISubsetCreator subsetCreator, ITraceDataProcessor traceProcessor, string setName)
{
gestureSetName = setName;
this.recognizer = recognizer;
this.subsetCreator = subsetCreator;
this.traceProcessor = traceProcessor;
GestureDataSet allGestures = DataSets.getTrajectoryDataSet(setName);
if (traceProcessor != null)
{
allGestures = traceProcessor.processAllGestures(allGestures);
}
subsetCreator.createSubsets(allGestures);
trainingSubSets = subsetCreator.getTrainingSubsets();
testSubSets = subsetCreator.getTestSubsets();
}
public void createSubsets(GestureDataSet allGestureTraces)
{
trainingSubsets = new GestureDataSet[nSubsets];
testSubsets = new GestureDataSet[nSubsets];
var subsetSize = allGestureTraces.Values.First().Count() / nSubsets;
for (int curSubset = 0; curSubset < nSubsets; curSubset++)
{
trainingSubsets[curSubset] = allGestureTraces.ToDictionary(
e => e.Key,
e => (IEnumerable <BaseTrajectory>)e.Value.Where((_, index) => (index / subsetSize) != curSubset).ToArray()
);
testSubsets[curSubset] = allGestureTraces.ToDictionary(
e => e.Key,
e => (IEnumerable <BaseTrajectory>)e.Value.Where((_, index) => (index / subsetSize) == curSubset).ToArray()
);
}
}
public CHnMMRecognitionExperiment(string setName, bool crossValidate, int nTrainingOrSubsets, IEnumerable <Configuration> configs, ITraceDataProcessor traceProcessor = null)
{
this.dataSourceName = setName;
this.nTrainingOrSubsets = nTrainingOrSubsets;
this.crossValidate = crossValidate;
this.configs = configs;
ISubsetCreator subsetCreator = crossValidate ?
new CrossvalidationSubsetCreator(nTrainingOrSubsets) :
(ISubsetCreator) new SimpleSplitSubsetCreator(nTrainingOrSubsets);
GestureDataSet allGestures = DataSets.getTrajectoryDataSet(setName);
if (traceProcessor != null)
{
allGestures = traceProcessor.processAllGestures(allGestures);
}
subsetCreator.createSubsets(allGestures);
trainingSubSets = subsetCreator.getTrainingSubsets();
testSubSets = subsetCreator.getTestSubsets();
}
private VerificationResults.BasicResult DoVerification(GestureDataSet trainingSet, GestureDataSet genuineSet, GestureDataSet forgerySet)
{
Stopwatch swTrain = new Stopwatch();
//train recognition system
verifier.clearGestures();
swTrain.Restart();
foreach (var e in trainingSet)
{
verifier.trainGesture(e.Key, e.Value);
}
swTrain.Stop();
int nFalseAccepts = 0;
int nFalseRejects = 0;
int nGenuineAttempts = 0;
//test genuine
foreach (var e in genuineSet)
{
foreach (var trace in e.Value)
{
var userVerified = verifier.verifyGesture(e.Key, trace);
if (!userVerified)
{
nFalseRejects++;
}
nGenuineAttempts++;
}
}
int nForgeryAttempts = 0;
//test forgeries
foreach (var e in forgerySet)
{
foreach (var trace in e.Value)
{
var userVerified = verifier.verifyGesture(e.Key, trace);
if (userVerified)
{
nFalseAccepts++;
}
nForgeryAttempts++;
}
}
double FAR = (double)nFalseAccepts / nForgeryAttempts;
double FRR = (double)nFalseRejects / nGenuineAttempts;
return(new VerificationResults.BasicResult(FAR, FRR));
}
public void createSubsets(GestureDataSet allGestureTraces)
{
trainingSet = allGestureTraces.ToDictionary(e => e.Key, e => e.Value.Take(nTraining));
testSet = allGestureTraces.ToDictionary(e => e.Key, e => e.Value.Skip(nTraining));
}
