Skip to main content

Evaluation of Improvement in Orientation Estimation Through the Use of the Linear Acceleration Estimation in the Body Model

  • Conference paper
  • First Online:
Book cover Man–Machine Interactions 4

Abstract

The need for broadly defined measures of human motion and estimation of motion parameters occurs in many research disciplines. The article concerns the evaluation of improvement in basic orientation estimation methods for IMU sensors, throughout the use of rigid body (segment in skeleton model) constraints. The verified method utilizes the correlation between rational motions and linear accelerations in the body model and reduces the impact of the external acceleration on the estimation of orientation. The experimental study concerns comparison of this method to other methods of leveling the influence of linear external acceleration.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. El-Gohary, M., McNames, J.: Shoulder and elbow joint angle tracking with inertial sensors. IEEE Trans. Biomed. Eng. 59(9), 2635–2641 (2012)

    Article  Google Scholar 

  2. Gramkow, C.: On averaging rotations. J. Math. Imaging Vis. 15(1–2), 7–16 (2001)

    Article  MATH  MathSciNet  Google Scholar 

  3. Jedrasiak, K., Daniec, K., Nawrat, A.: The low cost micro inertial measurement unit. In: ICIEA 2013, pp. 403–408. Melbourne, Australia (2013)

    Google Scholar 

  4. Kulbacki, M., Koteras, R., Szczęsna, A., Daniec, K., Bieda, R., Słupik, J., Segen, J., Nawrat, A., Polański, A., Wojciechowski, K.: Scalable, wearable, unobtrusive sensor network for multimodal human monitoring with distributed control. In: MBEC 2014, pp. 914–917. Dubrovnik, Croatia (2015)

    Google Scholar 

  5. Lin, J.F., Kulić, D.: Human pose recovery using wireless inertial measurement units. Physiol. Meas. 33(12), 2099 (2012)

    Article  Google Scholar 

  6. Luinge, H.J., Veltink, P.H.: Measuring orientation of human body segments using miniature gyroscopes and accelerometers. Med. Biol. Eng. Comput. 43(2), 273–282 (2005)

    Article  Google Scholar 

  7. Mahony, R., Hamel, T., Pflimlin, J.M.: Nonlinear complementary filters on the special orthogonal group. IEEE Trans. Autom. Control 53(5), 1203–1218 (2008)

    Article  MathSciNet  Google Scholar 

  8. Sabatini, A.M.: Quaternion-based extended kalman filter for determining orientation by inertial and magnetic sensing. IEEE Trans. Biomed. Eng. 53(7), 1346–1356 (2006)

    Article  Google Scholar 

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

    Article  Google Scholar 

  10. Sabatini, A.M.: Kalman-filter-based orientation determination using inertial/magnetic sensors: observability analysis and performance evaluation. Sensors 11(10), 9182–9206 (2011)

    Article  Google Scholar 

  11. Shuster, M.D.: The generalized Wahba problem. J. Astronaut. Sci. 54(2), 245–259 (2006)

    Article  MathSciNet  Google Scholar 

  12. Słupik, J., Szczęsna, A., Polański, A.: Novel lightweight quaternion filter for determining orientation based on indications of gyroscope, magnetometer and accelerometer. Comput. Vis. Graph. LNCS 8671, 586–593 (2014)

    Google Scholar 

  13. Wahba, G.: A least squares estimate of satellite attitude. SIAM Rev. 7(3), 409–409 (1965)

    Article  Google Scholar 

  14. Young, A., Ling, M.J., Arvind, D.: Distributed estimation of linear acceleration for improved accuracy in wireless inertial motion capture. In: IPSN 2010, pp. 256–267. Stockholm, Sweden (2010)

    Google Scholar 

  15. Young, A.D.: Use of body model constraints to improve accuracy of inertial motion capture. In: BSN 2010, pp. 180–186. Singapore (2010)

    Google Scholar 

  16. 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: ICRA 2005, pp. 317–322. Barcelona, Spain (2005)

    Google Scholar 

  17. Yun, X., Bachmann, E.R.: Design, implementation, and experimental results of a quaternion-based Kalman filter for human body motion tracking. IEEE Trans. Robot. 22(6), 1216–1227 (2006)

    Article  Google Scholar 

Download references

Acknowledgments

This work was supported by statute project of Silesian University of Technology, Institute of Informatics (BK-266/RAU-2/2014). This work was partly performed using the infrastructure supported by POIG.02.03.01-24-099/13 grant: “GCONiI—Upper-Silesian Center for Scientific Computation”. Data was captured in Human Motion Laboratory of Polish-Japanese Academy of Information Technology (http://hm.pjwstk.edu.pl/en/).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Agnieszka Szczęsna .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this paper

Cite this paper

Szczęsna, A., Pruszowski, P., Słupik, J., Pęszor, D., Polański, A. (2016). Evaluation of Improvement in Orientation Estimation Through the Use of the Linear Acceleration Estimation in the Body Model. In: Gruca, A., Brachman, A., Kozielski, S., Czachórski, T. (eds) Man–Machine Interactions 4. Advances in Intelligent Systems and Computing, vol 391. Springer, Cham. https://doi.org/10.1007/978-3-319-23437-3_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-23437-3_32

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-23436-6

  • Online ISBN: 978-3-319-23437-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics