389 / 2022-01-31 13:30:47
Reliability of standing model and identification technique in response to support surface perturbation
Center of Mass; Standing balance; System identification; Intraclass correlation; Force sensor
全文录用
Jin Tsuneda / Kochi University of Technology
Motomichi Sonobe / Kochi University of Technology
Many past studies have modeled a standing balance system for the support surface perturbation. However, the unique and stable identification for individual models is difficult due to the low reproducibility of the response. To achieve it, the assumed model needs to be simple and close to the mechanical properties. In addition, to make a practical identification method, it is desirable to simplify the measuring method of the center of mass(CoM). This study aims to develop an identification method of standing response to the support surface perturbation on the sagittal plane. The response, the CoM of the body, is estimated from the measurements of the force sensors under both feet instead of the motion capture system. The model was based on a single inverted pendulum model assuming the ankle joint strategy, and the passive response to unexpected perturbation was analyzed. We assumed a state-delayed feedback system (inner-loop) and the reference position of the CoM in proportion to the support surface velocity (outer-loop). Thirty healthy male subjects were tested to validate the method, and all subjects identified stable systems. The reliability of the identified system was evaluated using the intra-class correlation coefficient (ICC). The results demonstrated that the same parameters could be determined using force sensors without using the motion capture system. Comparing the identification results of three sets of experiments, the ICC of the inner-loop parameters was over 0.8. This method may contribute to developing standing simulation models and assessing standing balance.
重要日期
  • 会议日期

    11月01日

    2022

    11月03日

    2022

  • 10月30日 2022

    初稿截稿日期

  • 11月09日 2022

    注册截止日期

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Qingdao University of Technology
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