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Adaptation Mechanism of Feedback in Quaternion Kalman Filtering for Orientation Estimation

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Abstract

In this paper an adaptation mechanism of feedback in Kalman filtering is presented for orientation estimation of rigid body. This filter fuses the measurements from Inertial Measurement Unit (IMU) sensors to determine the 3D orientation. It is well known that a factor that strongly influences the orientation measurement is the existence and magnitude of the external acceleration of the IMU sensor. To show results of simulated experiments the quaternion-based Extended Kalman Filter with and without adaptation regarding accelerometers measurement mechanism were implemented.

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References

  1. Kulbacki, M., et al.: Scalable, Wearable, Unobtrusive Sensor Network for Multimodal Human Monitoring with Distributed Control. In: Lacković, I., Vasic, D. (eds.) 6th European Conference of the International Federation for Medical and Biological Engineering. IFMBE, vol. 45, pp. 914–917. Springer International Publishing, Switzerland (2015)

    Google Scholar 

  2. Yun, X., Bachmann, E.R.: Design, Implementation, and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking. IEEE Transactions on Robotics 22(6), 1216–1227 (2006)

    Article  Google Scholar 

  3. Yun, X., Lizarraga, M., Bachmann, E.R., McGhee, R.B.: An Improved Quaternion-Based Kalman Filter for Real-Time Tracking of Rigid Body Orientation. In: Proceedings of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems, Las Vegas, Nevada, pp. 1074–1079 (October 2003)

    Google Scholar 

  4. Yun, X., Aparicio, C., Bachmann, E.R., McGhee, R.B.: Implementation and Experimental Results of a Quaternion-Based Kalman Filter for Human Body Motion Tracking. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, ICRA 2005, pp. 317–322 (2005)

    Google Scholar 

  5. Shuster, M.D., Oh, S.D.: Three-Axis Attitude Determination from Vector Observations. Journal of Guidance and Control 4(1), 70–77 (1981)

    Article  Google Scholar 

  6. Sabatini, A.M.: Quaternion-Based Extended Kalman Filter for Determining Orientation by Inertial and Magnetic Sensing. IEEE Tran. Biomedical Eng. 53(7), 1346–1356 (2006)

    Article  Google Scholar 

  7. Sabatini, A.M.: Kalman-Filter-Based Orientation Determination Using Inertial/Magnetic Sensors: Observability Analysis and Performance Evaluation, Sensors (2011)

    Google Scholar 

  8. Sabatini, A.M.: Estimating three-dimensional orientation of human body parts by inertial/magnetic sensing. Sensors 11(2), 1489–1525 (2011)

    Article  Google Scholar 

  9. Mahony, R., Hamel, T., Pflimlin, J.M.: Nonlinear Complementary Filters on the Special Orthogonal Group, Automatic Control. IEEE Transactions on Automatic Control 53(5), 1203–1218 (2008)

    Article  MathSciNet  Google Scholar 

  10. Słupik, J., Szczęsna, A., Polański, A.: Novel Lightweight Quaternion Filter for Determining Orientation Based on Indications of Gyroscope, Magnetometer and Accelerometer. In: Chmielewski, L.J., Kozera, R., Shin, B.-S., Wojciechowski, K. (eds.) ICCVG 2014. LNCS, vol. 8671, pp. 586–593. Springer, Heidelberg (2014)

    Google Scholar 

  11. Gramkow, C.: On averaging rotations. Journal of Mathematical Imaging and Vision 15(1-2), 7–16 (2001)

    Article  MathSciNet  Google Scholar 

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Correspondence to Przemysław Pruszowski .

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Pruszowski, P., Szczesna, A., Polański, A., Słupik, J., Wojciechowski, K. (2015). Adaptation Mechanism of Feedback in Quaternion Kalman Filtering for Orientation Estimation. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2015. Lecture Notes in Computer Science(), vol 9120. Springer, Cham. https://doi.org/10.1007/978-3-319-19369-4_65

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  • DOI: https://doi.org/10.1007/978-3-319-19369-4_65

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-19368-7

  • Online ISBN: 978-3-319-19369-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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