问基于深度图像的Kinect骨架算法

EN

sensor.SkeletonStream.Enable(new TransformSmoothParameters() 
            {
                Smoothing = 0.5f,
                Correction = 0.5f,
                Prediction = 0.5f,
                JitterRadius = 0.5f,
                MaxDeviationRadius = 0.04f

            });; // enable the skeleton stream, you could essentially not include any of the content in between the first and last curved brackets, as they are mainly used to stabilize the skeleton information (e.g. predict where a joint is if it disappears)

skeletonData = new Skeleton[kinect.SkeletonStream.FrameSkeletonArrayLength]; // this array will hold your skeletal data and is equivalent to the short array that holds your depth data.

sensor.SkeletonFrameReady += this.SkeletonFrameReady;

private void SkeletonFrameReady(object sender, SkeletonFrameReadyEventArgs e) 
{
     using (SkeletonFrame skeletonFrame = e.SkeletonFrame()) //get all the skeleton data
     {
     if (skeletonFrame == null) //if there's no data, then exit
            {
                return;
            }

            skeletonFrame.CopySkeletonDataTo(skeletonData); //copy all the skeleton data into our skeleton array. It's an array that holds data for up to 6 skeletons

            Skeleton skeletonOfInterest = (from s in skeletonData
                              where s.TrackingState == SkeletonTrackingState.Tracked
                              select s).ElementAtOrDefault(1); //define the first skeleton thats tracked

           //put code to manipulate skeletons. You have to go do some reading to find out how to work with the skeletons.
     }
}