Abstract detail

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
Special Sessions > Human Vibration and Health Sensor Applications
Draft Paper Accepted
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.

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Important Dates

Abstract Submission Deadline:

 31st March 2021 15th April 2021

Extended Deadline: 1st Aug. 2022

 

Abstract Acceptance:

30th April  2021 Rollover

 

Full Paper Submission Deadline:

30th June 2021  14th July 2021

Extended Deadline: 15th Aug. 2022 

 

Notification of Acceptance:

15th August 2021 1st Sept. 2021

1st Sept. 2022

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