void stopRecording()
{
if (recording)
{
recording = false;
if (!trial)
{
name = "pattern_" + (patternIndex + 1);
patternIndex++;
Pattern newPattern = new Pattern(name);
newPattern.trials.Add(new List <AccelDataPoint>());
foreach (var ADP in record)
{
newPattern.trials[0].Add(new AccelDataPoint(ADP));
}
newPattern.CalculateData();
updateAllTimes(newPattern.trials[0], newPattern.trials[0].Last().t_abs);
updateAllTimes(newPattern.data, newPattern.data.Last().t_abs);
patterns.Add(newPattern);
writeToFile(newPattern.trials.Last(), "pattern" + patternIndex + "_0.csv");
writeToFile(newPattern.data, "pattern" + patternIndex + "_0d.csv");
}
else
{
patterns[patternIndex - 1].trials.Add(new List <AccelDataPoint>());
for (int i = 0; i < record.Count; i++)
{
patterns[patternIndex - 1].trials.Last().Add(new AccelDataPoint(record.ElementAt(i)));
}
patterns[patternIndex - 1].CalculateData();
updateAllTimes(patterns[patternIndex - 1].data, patterns[patternIndex - 1].data.Last().t_abs);
writeToFile(patterns[patternIndex - 1].trials.Last(), "pattern" + patternIndex + "_" + (patterns[patternIndex - 1].trials.Count - 1) + ".csv");
writeToFile(patterns[patternIndex - 1].data, "pattern" + patternIndex + "_" + (patterns[patternIndex - 1].trials.Count - 1) + "d.csv");
}
}
}
