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Editorial Team
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Asked: 2026-06-06T15:21:40+00:00

Currently I am using the DTWGestureRecognizer open source tool for Kinect SDK v1.5. I

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Currently I am using the DTWGestureRecognizer open source tool for Kinect SDK v1.5. I have recorded a few gestures and use them to navigate through Windows 7. I also have implemented voice control for simple things such as opening PowerPoint, Chrome, etc.

My main issue is that the application uses quite a bit of my CPU power which causes it to become slow. During gestures and voice commands, the CPU usage sometimes spikes to 80-90%, which causes the application to be unresponsive for a few seconds. I am running it on a 64 bit Windows 7 machine with an i5 processor and 8 GB of RAM. I was wondering if anyone with any experience using this tool or Kinect in general has made it more efficient and less performance hogging.

Right now I removed sections which display the RGB video and the Depth video but even doing that did not make a big impact. Any help is appreciated, thanks!

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  1. Editorial Team

    Some of the factors I can think of are

    • Reduce the resolution.
    • Reduce the frames being recorded/processed by the application using polling model i.e. OpenNextFrame(int millisecondsWait) method of DepthStream, ColorStream & SkeletonStream
      instead of event model.
    • Tracking mode is Default instead of Seated(sensor.SkeletonStream.TrackingMode =
      SkeletonTrackingMode.Default) as seated consumes more resources.
    • Use sensor.MapDepthFrameToColorFrame instead of calling sensor.MapDepthToColorImagePoint method in a loop.
    • Last and most imp. is the algorithm used in the open source tool.
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