Skip to main content

Toward an Affordable Multi-Modal Motion Capture System Framework for Human Kinematics and Kinetics Assessment

  • Conference paper
  • First Online:
Wearable Robotics: Challenges and Trends (WeRob 2018)

Part of the book series: Biosystems & Biorobotics ((BIOSYSROB,volume 22))

Included in the following conference series:

Abstract

The present study aims at designing and evaluating a low-cost, simple and portable system for human kinematics (joint angles) and kinetics (joint torques) motion assessment. The system is based on a single camera, a set of customized markers, low-cost inertial measurement units and an affordable Wii Balance board. The automatically detected and tracked marker positions and orientations were used synchronously with other sensors data as inputs to an Extended Kalman Filter based on a biomechanical model of the investigated tasks. The method was validated with arm motions and with lower-limb motions of a subject wearing an exoskeleton. External ground reaction forces measured with a Wii Balance board were compared to the estimated ones based on the proposed low-cost system. Comparative analysis shows good accuracy with a low average NRMS error.

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 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover 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.: Human joint angle estimation with inertial sensors and validation with a robot arm. IEEE Trans. Biomed. Eng. 62(7), 1759–1767 (2015)

    Article  Google Scholar 

  2. Bonnet, V., Sylla, N., Cherubini, A., Gonzàlez, A., Azevedo, C., Fraisse, P., Venture, G.: Toward an affordable and user-friendly visual motion capture system. IEEE International Conference on Engineering in Medicine and Biology Society (EMBS), pp. 3634–3637 (2014)

    Google Scholar 

  3. Mallat, R., Bonnet, V., Huo, W., Karasinski, P., Amirat, Y., Khalil, M., Mohammed, S.: An introduction to signal detection and estimation. In: Proceedings of the IEEE/RSJ International Conference Robotics Automation (ICRA) (2018)

    Google Scholar 

  4. Munoz-Salinas, R.: ARUCO: a minimal library for Augmented Reality applications based on OpenCv. Universidad de Crdoba (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Randa Mallat .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Mallat, R., Bonnet, V., Khalil, M., Mohammed, S. (2019). Toward an Affordable Multi-Modal Motion Capture System Framework for Human Kinematics and Kinetics Assessment. In: Carrozza, M., Micera, S., Pons, J. (eds) Wearable Robotics: Challenges and Trends. WeRob 2018. Biosystems & Biorobotics, vol 22. Springer, Cham. https://doi.org/10.1007/978-3-030-01887-0_13

Download citation

  • DOI: https://doi.org/10.1007/978-3-030-01887-0_13

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-01886-3

  • Online ISBN: 978-3-030-01887-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics