Motion Capturing with Inertial Measurement Units and Kinect - Tracking of Limb Movement using Optical and Orientation Information

@inproceedings{Kalkbrenner2014MotionCW,
  title={Motion Capturing with Inertial Measurement Units and Kinect - Tracking of Limb Movement using Optical and Orientation Information},
  author={Christoph Kalkbrenner and Steffen Hacker and Mar{\'i}a-Elena Algorri and Ronald Blechschmidt-Trapp},
  booktitle={BIODEVICES},
  year={2014}
}
This paper presents an approach for the tracking of limb movements using orientation information acquired from Inertial Measurement Units (IMUs) and optical information from a Kinect sensor. A new algorithm that uses a Kalman filter to fuse the Kinect and IMU data is presented. By fusing optical and orientation information we are able to track the movement of limb joints precisely, and almost drift-free. First, the IMU data is processed using the gradient descent algorithm proposed in (Madgwick… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 24 references

Tutorial: implementation of a pedestrian tracker using foot-mounted inertial sensors

  • C. Fischer, P. Talkad Sukumar, M. Hazas
  • Pervasive Computing,
  • 2012
2 Excerpts

torial : implementation of a pedestrian tracker using foot - mounted inertial sensors

  • C. Fischer, P. Talkad Sukumar, M. Hazas
  • Pervasive Computing , IEEE
  • 2012
1 Excerpt

Similar Papers

Loading similar papers…