Estimating GRF(Ground Reaction Force) and Calibrating CoP(Center of Pressure) of an insole measured by an low-cost sensor with neural network

Ho Seon Choi, Myounghoon Shim, Chang Hee Lee, Yoon Su Baek

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

CoP(Center of pressure) and GRF(ground reaction force) of insole are very important values in biomechanics area. They are using for calculating kinematics, dynamics of human or controlling of robot like exoskeletons. As an alternative to high-cost insole pressure sensors that can measure the insole pressure distribution and calculate the center of pressure, a FSR (Force Sensing Resistor) foot sensor with FSR sensors on the bottom of the insole was developed. However, the value of the CoP calculated using fixed coordinates and the values of FSR sensors were not sufficiently accurate and FSR sensors cannot cover the whole area of the insole so it can not calculate the magnitude of GRF. Hence, in this paper, a model capable of estimating of GRF and calibrating CoP measured by FSR foot sensors using neural network fitting is introduced. These processes rely on the fact that foot has protruding areas that are initially in contact with the ground while walking, with the size and magnitude of the pressure exerted by other non-protruding areas estimated using the the constant patterns of the pressure values of the protruding areas. This paper presents the division of the insole based on anatomical shape of foot, estimations of appropriate numvers and locations of the FSR sensors, creation of virtual forces and their floating coordinates, development of algorithms with neural network fitting for estimating the values, and calculation of the estimated GRF and calibrated CoP. Validation is conducted by comparing the Values with those of F-Scan System(Tekscan, Inc.).

Original languageEnglish
Title of host publicationProceedings - 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering, BIBE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages185-188
Number of pages4
ISBN (Electronic)9781538662168
DOIs
Publication statusPublished - 2018 Dec 6
Event18th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2018 - Taichung, Taiwan, Province of China
Duration: 2018 Oct 292018 Oct 31

Publication series

NameProceedings - 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering, BIBE 2018

Other

Other18th IEEE International Conference on Bioinformatics and Bioengineering, BIBE 2018
CountryTaiwan, Province of China
CityTaichung
Period18/10/2918/10/31

All Science Journal Classification (ASJC) codes

  • Genetics(clinical)
  • Health Informatics
  • Oncology
  • Biomedical Engineering
  • Cardiology and Cardiovascular Medicine

Fingerprint Dive into the research topics of 'Estimating GRF(Ground Reaction Force) and Calibrating CoP(Center of Pressure) of an insole measured by an low-cost sensor with neural network'. Together they form a unique fingerprint.

  • Cite this

    Choi, H. S., Shim, M., Lee, C. H., & Baek, Y. S. (2018). Estimating GRF(Ground Reaction Force) and Calibrating CoP(Center of Pressure) of an insole measured by an low-cost sensor with neural network. In Proceedings - 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering, BIBE 2018 (pp. 185-188). [8567482] (Proceedings - 2018 IEEE 18th International Conference on Bioinformatics and Bioengineering, BIBE 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BIBE.2018.00043