An approach to human walking analysis based on balance, symmetry and stability using COG, ZMP and CP

Seonghye Kim, Toshiyuki Murakami

Research output: Contribution to journalArticlepeer-review

Abstract

The parameters of walking have been studied from the viewpoints of joint rotation and translation of body. The balance and symmetry of walking are indispensable features to understand for healthy walking, while also being a personal characteristic. However, quantification has not been easy to carry out in the case of the conventional gait parameters COG (center of gravity) and ZMP (zero moment point). In this approach, the CP (crossing point) is proposed to quantify the concept of symmetry and balance by comparing it to the COG and ZMP. The CP is estimated based on the intersection between the hip line and the ankle line. While the hip line is fixed on the upper body where the COG is, the ankle line is altered depending on the each footfall, where the ZMP is. Therefore, the values of COG, ZMP, and CP have similar or different tendencies in terms of whether balanced walking results in symmetry or not. The validity of this is verified by carrying out a simulation with robot walking, and an experiment using human walking. Through additional experiments, it was noticed that the CP was able to improve the role of COG and ZMP in terms of not only stability, but also its relationship with the movement range of the lower limbs.

Original languageEnglish
Article number7307
Pages (from-to)1-17
Number of pages17
JournalApplied Sciences (Switzerland)
Volume10
Issue number20
DOIs
Publication statusPublished - 2020 Oct 2

Keywords

  • COG
  • Gait recognition
  • Human walking analysis
  • Walking balance
  • Walking stability
  • Walking symmetry
  • ZMP

ASJC Scopus subject areas

  • Materials Science(all)
  • Instrumentation
  • Engineering(all)
  • Process Chemistry and Technology
  • Computer Science Applications
  • Fluid Flow and Transfer Processes

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