Skip to main content
SpringerLink
Log in

Evaluating an Accelerometer-Based System for Spine Shape Monitoring

  • Conference paper
  • First Online:
Computational Science and Its Applications – ICCSA 2018 (ICCSA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10963))

Included in the following conference series:

Abstract

In western societies a huge percentage of the population suffers from some kind of back pain at least once in their life. There are several approaches addressing back pain by postural modifications. Postural training and activity can be tracked by various wearable devices most of which are based on accelerometers. We present research on the accuracy of accelerometer-based posture measurements. To this end, we took simultaneous recordings using an optical motion capture system and a system consisting of five accelerometers in three different settings: On a test robot, in a template, and on actual human backs. We compare the accelerometer-based spine curve reconstruction against the motion capture data. Results show that tilt values from the accelerometers are captured highly accurate, and the spine curve reconstruction works well.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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

Notes

  1. 1.

    www.healthoutcome.org.

  2. 2.

    www.uprightpose.com.

  3. 3.

    www.lumobodytech.com.

  4. 4.

    http://optitrack.com/.

  5. 5.

    http://posturesensei.com.

  6. 6.

    g \(\approx 9.81\ \mathrm{m/s^2}\) is earth’s standard acceleration due to gravity.

References

  1. Robertson, J.T.: The rape of the spine. Surg. Neurol. 39(1), 5–12 (1993)

    Article  MathSciNet  Google Scholar 

  2. Vällfors, B.: Acute, subacute and chronic low back pain: clinical symptoms, absenteeism and working environment. Scand. J. Rehabil. Med. Suppl. 11, 198 (1985)

    Google Scholar 

  3. Rubin, D.I.: Epidemiology and risk factors for spine pain. Neurol. Clin. 25(2), 353–371 (2007). Neck and Back Pain

    Article  Google Scholar 

  4. Gaskin, D.J., Richard, P.: The economic costs of pain in the united states. J. Pain 13(8), 715–724 (2012)

    Article  Google Scholar 

  5. Peleg, M., Leung, T.I., Desai, M., Dumontier, M.: Is crowdsourcing patient-reported outcomes the future of evidence-based medicine? A case study of back pain. In: ten Teije, A., Popow, C., Holmes, J.H., Sacchi, L. (eds.) AIME 2017. LNCS, vol. 10259, pp. 245–255. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-59758-4_27

    Chapter  Google Scholar 

  6. Colombo, S., Joy, M., Mason, L., Peper, E., Harvey, R., Booiman, A.: Posture change feedback training and its effect on health. In: 48th Annual Meeting of the Association for Applied Psychophysiology and Biofeedback, March 2017

    Google Scholar 

  7. Hellstrom, P.A.R., Åkerberg, A., Folke, M.: Posture sensor as feedback when lifting weights. In: 4th International Conference on Ambulatory Monitoring of Physical Activity and Movement, June 2015

    Google Scholar 

  8. Fathi, A., Curran, K.: Detection of spine curvature using wireless sensors. J. King Saud Univ. Sci. 29(4), 553–560 (2017)

    Article  Google Scholar 

  9. Noiumkar, S., Tirakoat, S.: Use of optical motion capture in sports science: a case study of golf swing. In: 2013 International Conference on Informatics and Creative Multimedia (ICICM), pp. 310–313. IEEE (2013)

    Google Scholar 

  10. MacIver, M., Sharabash, N., Nelson, M.: Prey-capture behavior in gymnotid electric fish: motion analysis and effects of water conductivity. J. Exp. Biol. 204(3), 543–557 (2001)

    Google Scholar 

  11. Culhane, K.M., OConnor, M., Lyons, D., Lyons, G.M.: Accelerometers in rehabilitation medicine for older adults. Age Age. 34(6), 556–560 (2005)

    Article  Google Scholar 

  12. Merriaux, P., Dupuis, Y., Boutteau, R., Vasseur, P., Savatier, X.: A study of vicon system positioning performance. Sensors 17(7), 1591 (2017)

    Article  Google Scholar 

  13. Bernard, J., Dobermann, E., Vögele, A., Krüger, B., Kohlhammer, J., Fellner, D.: Visual-interactive semi-supervised labeling of human motion capture data. In: Visualization and Data Analysis (VDA 2017), January 2017

    Google Scholar 

  14. Chen, X., Koskela, M.: Skeleton-based action recognition with extreme learning machines. Neurocomputing 149, 387–396 (2015)

    Article  Google Scholar 

  15. Wilhelm, N., Vögele, A., Zsoldos, R., Licka, T., Krüger, B., Bernard, J.: Furyexplorer: visual-interactive exploration of horse motion capture data. In: Visualization and Data Analysis (VDA 2015), February 2015

    Google Scholar 

  16. Zsoldos, R., Krüger, B., Licka, T.: From maturity to old age: tasks of daily life require a different muscle use in horses. Comp. Exerc. Physiol. 10(2), 75–88 (2014)

    Article  Google Scholar 

  17. Müller, M., Röder, T., Clausen, M., Eberhardt, B., Krüger, B., Weber, A.: Documentation Mocap database HDM05. Technical report CG-2007-2, Universität Bonn, June 2007

    Google Scholar 

  18. CMU: Carnegie Mellon University Graphics Lab: Motion Capture Database (2013)

    Google Scholar 

  19. Riaz, Q., Krüger, B., Weber, A.: A relational database for human motion data. In: Gervasi, O., et al. (eds.) ICCSA 2015. LNCS, vol. 9159, pp. 234–249. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-21413-9_17

    Chapter  Google Scholar 

  20. Kapadia, M., Chiang, I.k., Thomas, T., Badler, N.I., Kider Jr., J.T., et al.: Efficient motion retrieval in large motion databases. In: Proceedings of the ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, pp. 19–28. ACM (2013)

    Google Scholar 

  21. Wang, P., Lau, R.W., Zhang, M., Wang, J., Song, H., Pan, Z.: A real-time database architecture for motion capture data. In: Proceedings of the 19th ACM International Conference on Multimedia, pp. 1337–1340. ACM (2011)

    Google Scholar 

  22. Awad, C., Courty, N., Gibet, S.: A database architecture for real-time motion retrieval. In: Seventh International Workshop on Content-Based Multimedia Indexing, CBMI 2009, pp. 225–230. IEEE (2009)

    Google Scholar 

  23. Pavlakos, G., Zhou, X., Derpanis, K.G., Daniilidis, K.: Coarse-to-fine volumetric prediction for single-image 3d human pose. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1263–1272. IEEE (2017)

    Google Scholar 

  24. Bogo, F., Kanazawa, A., Lassner, C., Gehler, P., Romero, J., Black, M.J.: Keep it SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image. European Conference on Computer Vision, pp. 561–578, Springer, Cham (2016)

    Chapter  Google Scholar 

  25. Rhodin, H., Richardt, C., Casas, D., Insafutdinov, E., Shafiei, M., Seidel, H.P., Schiele, B., Theobalt, C.: EgoCap: egocentric Marker-less motion capture with two Fisheye cameras. ACM Trans. Graph. (TOG) 35(6), 162 (2016)

    Article  Google Scholar 

  26. Shiratori, T., Park, H.S., Sigal, L., Sheikh, Y., Hodgins, J.K.: Motion capture from body-mounted cameras. ACM Trans. Graph. 30(4), 31:1–31:10 (2011)

    Article  Google Scholar 

  27. Vögele, A., Zsoldos, R., Krüger, B., Licka, T.: Novel methods for surface EMG analysis and exploration based on multi-modal gaussian mixture models. PLOS ONE 11(6), e0157239 (2016)

    Article  Google Scholar 

  28. Weiss, A., Herman, T., Plotnik, M., Brozgol, M., Maidan, I., Giladi, N., Gurevich, T., Hausdorff, J.M.: Can an accelerometer enhance the utility of the timed up & go test when evaluating patients with parkinson’s disease? Med. Eng. Phys. 32(2), 119–125 (2010)

    Article  Google Scholar 

  29. Bourke, A., OBrien, J., Lyons, G.: Evaluation of a threshold-based tri-axial accelerometer fall detection algorithm. Gait Posture 26(2), 194–199 (2007)

    Article  Google Scholar 

  30. Riaz, Q., Guanhong, T., Krüger, B., Weber, A.: Motion reconstruction using very few accelerometers and ground contacts. Graph. Models 79, 23–38 (2015)

    Article  Google Scholar 

  31. Slyper, R., Hodgins, J.K.: Action capture with accelerometers. In: Proceedings of the 2008 ACM SIGGRAPH/Eurographics Symposium on Computer Animation, SCA 2008, pp. 193–199. Eurographics Association (2008)

    Google Scholar 

  32. Vlasic, D., Adelsberger, R., Vannucci, G., Barnwell, J., Gross, M., Matusik, W., Popović, J.: Practical motion capture in everyday surroundings. ACM Trans. Graph. 26(3), 35 (2007)

    Article  Google Scholar 

  33. Farella, E., Benini, L., Riccò, B., Acquaviva, A.: MOCA: a low-power, low-cost motion capture system based on integrated accelerometers. In: Advances in MultiMedia 2007, no. 1, p. 1 (2007)

    Article  Google Scholar 

  34. Riaz, Q., Vögele, A., Krüger, B., Weber, A.: One small step for a man: estimation of gender, age, and height from recordings of one step by a single inertial sensor. Sensors 15(12), 31999–32019 (2015)

    Article  Google Scholar 

  35. Gower, J.C., Dijksterhuis, G.B.: Procrustes Problems. Volume 30 of Oxford Statistical Science Series. Oxford University Press, Oxford (2004)

    Chapter  Google Scholar 

Download references

Acknowledgement

We thank Philipp Löschner and David Scherfgen for supporting us with the motion capture recordings.

Author information

Authors and Affiliations

  1. Institute of Visual Computing, Bonn-Rhein-Sieg University of Applied Sciences, Sankt Augustin, Germany

    Katharina Stollenwerk

  2. Institute of Visual Computing, Hochschule Bonn-Rhein Sieg, Sankt Augustin, Germany

    André Hinkenjann

  3. Gokhale Method Institute, Stanford, CA, USA

    Johannes Müllers, Jonas Müller & Björn Krüger

Authors
  1. Katharina Stollenwerk
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Johannes Müllers
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jonas Müller
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. André Hinkenjann
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Björn Krüger
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Katharina Stollenwerk .

Editor information

Editors and Affiliations

  1. University of Perugia, Perugia, Italy

    Osvaldo Gervasi

  2. University of Basilicata, Potenza, Italy

    Beniamino Murgante

  3. Covenant University, Ota, Nigeria

    Sanjay Misra

  4. Saint Petersburg State University, Saint Petersburg, Russia

    Elena Stankova

  5. Polytechnic University of Bari, Bari, Italy

    Carmelo M. Torre

  6. University of Minho, Braga, Portugal

    Ana Maria A.C. Rocha

  7. Monash University, Clayton, Victoria, Australia

    David Taniar

  8. Kyushu Sangyo University, Fukuoka shi, Fukuoka, Japan

    Bernady O. Apduhan

  9. Politecnico di Bari, Bari, Italy

    Eufemia Tarantino

  10. Myongji University, Yongin, Korea (Republic of)

    Yeonseung Ryu

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG, part of Springer Nature

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Stollenwerk, K., Müllers, J., Müller, J., Hinkenjann, A., Krüger, B. (2018). Evaluating an Accelerometer-Based System for Spine Shape Monitoring. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2018. ICCSA 2018. Lecture Notes in Computer Science(), vol 10963. Springer, Cham. https://doi.org/10.1007/978-3-319-95171-3_58

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-95171-3_58

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95170-6

  • Online ISBN: 978-3-319-95171-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation