A biodynamic feedthrough model based on neuromuscular principles

Joost Venrooij, David A. Abbink, Mark Mulder, Marinus M. Van Paassen, Max Mulder, Frans C T Van Der Helm, Heinrich Bulthoff

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

A biodynamic feedthrough (BDFT) model is proposed that describes how vehicle accelerations feed through the human body, causing involuntary limb motions and so involuntary control inputs. BDFT dynamics strongly depend on limb dynamics, which can vary between persons (between-subject variability), but also within one person over time, e.g., due to the control task performed (within-subject variability). The proposed BDFT model is based on physical neuromuscular principles and is derived from an established admittance model-describing limb dynamics-which was extended to include control device dynamics and account for acceleration effects. The resulting BDFT model serves primarily the purpose of increasing the understanding of the relationship between neuromuscular admittance and biodynamic feedthrough. An added advantage of the proposed model is that its parameters can be estimated using a two-stage approach, making the parameter estimation more robust, as the procedure is largely based on the well documented procedure required for the admittance model. To estimate the parameter values of the BDFT model, data are used from an experiment in which both neuromuscular admittance and biodynamic feedthrough are measured. The quality of the BDFT model is evaluated in the frequency and time domain. Results provide strong evidence that the BDFT model and the proposed method of parameter estimation put forward in this paper allows for accurate BDFT modeling across different subjects (accounting for between-subject variability) and across control tasks (accounting for within-subject variability).

Original languageEnglish
Article number6594822
Pages (from-to)1141-1154
Number of pages14
JournalIEEE Transactions on Cybernetics
Volume44
Issue number7
DOIs
Publication statusPublished - 2014 Jan 1

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Parameter estimation
Experiments

ASJC Scopus subject areas

  • Computer Science Applications
  • Human-Computer Interaction
  • Information Systems
  • Software
  • Control and Systems Engineering
  • Electrical and Electronic Engineering

Cite this

Venrooij, J., Abbink, D. A., Mulder, M., Van Paassen, M. M., Mulder, M., Van Der Helm, F. C. T., & Bulthoff, H. (2014). A biodynamic feedthrough model based on neuromuscular principles. IEEE Transactions on Cybernetics, 44(7), 1141-1154. [6594822]. https://doi.org/10.1109/TCYB.2013.2280028

A biodynamic feedthrough model based on neuromuscular principles. / Venrooij, Joost; Abbink, David A.; Mulder, Mark; Van Paassen, Marinus M.; Mulder, Max; Van Der Helm, Frans C T; Bulthoff, Heinrich.

In: IEEE Transactions on Cybernetics, Vol. 44, No. 7, 6594822, 01.01.2014, p. 1141-1154.

Research output: Contribution to journalArticle

Venrooij, J, Abbink, DA, Mulder, M, Van Paassen, MM, Mulder, M, Van Der Helm, FCT & Bulthoff, H 2014, 'A biodynamic feedthrough model based on neuromuscular principles', IEEE Transactions on Cybernetics, vol. 44, no. 7, 6594822, pp. 1141-1154. https://doi.org/10.1109/TCYB.2013.2280028
Venrooij J, Abbink DA, Mulder M, Van Paassen MM, Mulder M, Van Der Helm FCT et al. A biodynamic feedthrough model based on neuromuscular principles. IEEE Transactions on Cybernetics. 2014 Jan 1;44(7):1141-1154. 6594822. https://doi.org/10.1109/TCYB.2013.2280028
Venrooij, Joost ; Abbink, David A. ; Mulder, Mark ; Van Paassen, Marinus M. ; Mulder, Max ; Van Der Helm, Frans C T ; Bulthoff, Heinrich. / A biodynamic feedthrough model based on neuromuscular principles. In: IEEE Transactions on Cybernetics. 2014 ; Vol. 44, No. 7. pp. 1141-1154.
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