//here, we create a myomi gesture profile from the data and options given
private MyomiGesture AnalyzeData(List <MyoData> data, MyomiGestureOptions options)
{
//the idea is that we are comparing it frame by frame
var profileFrames = new List <MyoDataProfile>();
//we want to isolate the first frame for comparison, the prev frame will be the first unique frame listed
var prevFrame = data.First();
profileFrames.Add(MyoDataProfile.ConvertToProfile(prevFrame));
data.RemoveAt(0);
//this is just original data profiling, later, we need to create a new profile based on the options
foreach (var dataFrame in data)
{
//returning 1 would mean they are the same
if (prevFrame.CompareTo(dataFrame) == 1)
{
profileFrames.Last().Frames++;
}
else
{
//they are different, so we have a new frame set, we want this as the unique frame now
profileFrames.Add(MyoDataProfile.ConvertToProfile(dataFrame));
prevFrame = dataFrame;
}
}
return(new MyomiGesture(options, profileFrames));
}
public int Evaluator(MyoDataProfile toCompare, MyomiGestureOptions options, int initialScore)
{
//initial score should be 100 unless there's frame mismatches
int score = initialScore;
score -= _poseAnalyzer.GetPoint(toCompare.Pose, options);
score -= _accelAnalyzer.GetPoint(toCompare.Accel, options);
score -= _gyroAnalyzer.GetPoint(toCompare.Gyro, options);
score -= _orienAnalyzer.GetPoint(toCompare.Orien, options);
return(score);
}
