Validation Study for Novel Designed Tri-Axis Force Plate and Development of Algorithm for Decomposing Ground Reaction Force on a Single Force Plate

  • W. Y. Su
  • L. Y. Guo
  • C. W. Yen
  • L. I. Wu
Conference paper
Part of the IFMBE Proceedings book series (IFMBE, volume 63)


This developed an algorithm to solve the footstep targeting problem by gait analysis of the novel force plate. Using the force plate and the novel force plate to measure 11 healthy participants, and each subject was required to perform three times of counter movement jumps (CMJ), and walks without footstep targeting on two force platforms. First of all, the data of Ground Reaction Force (GRF) from Counter Movement Jump (CMJ) performance would be collected, and be calculated the parameter, including body weight, flight time, and the peak value of the vertical component to validate the novel tri-axis force plate. Second, in the algorithm development, vertical GRF measure and vertical GRF computed during normal gait analysis from the motion force plate were compared with each other, and the algorithm was used to calculate the decompose force when stepping on the novel force plate. Finally, the decomposed force with the corresponding measure with motion would be verified. It was analyzed by Spearman rank correlation coefficient, and the results were: body weight (R = 0.99, p < 0.01), flight time(R = 0.92, p < 0.01), and peak value of the vertical ground reaction force (R = 0.91, p < 0.01). Additionally, the mean relative error between the vertical GRF and the corresponding was 6.77 ± 7.49%. Therefore, the decomposed vertical GRF of both force plate and novel force plate were compared and that disclosed the algorithm of decomposed the vertical GRF. At compared the cross correlation coefficients with decomposed GRF on novel force plate by algorithm and measured on motion lab, the result showed that the right footstep variations of cross correlation coefficients was 0.98 and left footstep was 0.99, so In this study, the novel force plate indeed has high validity representation by the experiments examine, and the algorithm to decompose the vertical ground reaction forces was validated when subjects stepping on the single novel force plate. It try to solve the “Targetting Step”.


Novel force plate Gait analysis Ground reaction force Counter movement jumps Decompose 


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Thanks for the financial support from NSYSU-KMU JOINT RESEARCH PROJECT (NSYSUKMU 104-P022).


  1. 1.
    Alkjaer T, Simonsen EB, Dyhre-Poulsen P (2001) Comparison of inverse dynamics calculated by two- and three-dimensional models during walking. Gait Posture 13(2):73–77CrossRefGoogle Scholar
  2. 2.
    Bruijn SM et al (2011) Control of angular momentum during walking in children with cerebral palsy. Res Dev Disabil 32(6):2860–2866CrossRefGoogle Scholar
  3. 3.
    De Groote F et al (2009) A physiology based inverse dynamic analysis of human gait: potential and perspectives. Comput Methods Biomech Biomed Engin 12(5):563–574CrossRefGoogle Scholar
  4. 4.
    Herr H, Popovic M (2008) Angular momentum in human walking. J Exp Biol 211(Pt 4):467–481CrossRefGoogle Scholar
  5. 5.
    Koopman B, Grootenboer HJ, de Jongh HJ (1995) An inverse dynamics model for the analysis, reconstruction and prediction of bipedal walking. J Biomech 28(11):1369–1376CrossRefGoogle Scholar
  6. 6.
    Schache AG, Baker R (2007) On the expression of joint moments during gait. Gait Posture 25(3):440–452CrossRefGoogle Scholar
  7. 7.
    Silverman AK et al (2012) Whole-body angular momentum in incline and decline walking. J Biomech 45(6):965–971CrossRefGoogle Scholar
  8. 8.
    Martin PE, Marsh AP (1992) Step length and frequency effects on ground reaction forces during walking. J Biomech 25(10):1237–1239CrossRefGoogle Scholar
  9. 9.
    Oggero E et al (1997) Probability of valid gait data acquisition using currently available force plates. Biomed Sci Instrum 34:392–397Google Scholar
  10. 10.
    Janssen D et al (2011) Diagnosing fatigue in gait patterns by support vector machines and self-organizing maps. Hum Mov Sci 30(5):966–975CrossRefGoogle Scholar
  11. 11.
    Ballaz L, Raison M, Detrembleur C (2013) Decomposition of the vertical ground reaction forces during gait on a single force plate. J Musculoskelet Neuronal Interact 13(2):236–43Google Scholar
  12. 12.
    Davis BL, Cavanagh PR (1993) Decomposition of superimposed ground reaction forces into left and right force profiles. J Biomech 26(4–5):593–597CrossRefGoogle Scholar
  13. 13.
    Kluitenberg B et al (2012) Comparison of vertical ground reaction forces during overground and treadmill running. A validation study. BMC Musculoskelet Disord 13:235CrossRefGoogle Scholar
  14. 14.
    Begg RK, Rahman SM (2000) A method for the reconstruction of ground reaction force-time characteristics during gait from force platform recordings of simultaneous foot falls. IEEE Trans Biomed Eng 47(4):547–551CrossRefGoogle Scholar

Copyright information

© Springer Nature Singapore Pte Ltd. 2018

Authors and Affiliations

  1. 1.Department of Sport Medicine, College of MedicineKaohsiung Medicine UniversityKaohsiungTaiwan
  2. 2.Department of Mechanical and Electro-Mechanical EngineeringNational Sun Yat-Sen UniversityKaohsiungTaiwan
  3. 3.Department of Post Baccalaureate MedicineKaohsiung Medical UniversityKaohsiungTaiwan

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