Header
Header
Article

Simulation Analysis and Study of Gait Stability Related to Motion Joints



. 2022 Jul 29;2022:8417089.


doi: 10.1155/2022/8417089.


eCollection 2022.

Affiliations

Item in Clipboard

Yuanyuan Lei et al.


Biomed Res Int.


.

Abstract

Gait stability in exercise is an inevitable and vexing problem in mechanics, artificial intelligence, sports, and rehabilitation medicine research. With the rapid development and popularization of science and technology, it becomes a reality for researchers to obtain large-scale human motion data sets in real time with higher efficiency. However, at present, the analysis of gait stability of moving joints is still based on image recognition technology, which is ten times less accurate and inefficient. In this paper, Vicon 3D motion capture system, dynamometer, and surface electromyography system were used to obtain the parameters of the lower limbs of the subjects. Using Anywhere modeling and simulation system, simulation experiments were carried out, and the reaction force data of lower limb joints under two environments were obtained. The gait characteristics of human gait were analyzed from the angle of internal and external adjustment mechanism. Combining one-way ANOVA and incremental occupancy rate, the adjustment process of gait stability is described comprehensively. The findings of this study can provide a theoretical basis for the research of lower limb con-assistive devices and can guide the design and development of bipedal anthropomorphic robots.

Conflict of interest statement

The authors declare that there are no conflicts of interest regarding the publication of this article.

Figures



Figure 1

Spatial gait parameters.


Figure 2


Figure 2

The planes and axis of human anatomy.


Figure 3


Figure 3

Support surface.


Figure 4


Figure 4

AnyBody human model simulation system.


Figure 5


Figure 5

Kinematic analysis before and after adjustment of marker points.


Figure 6


Figure 6

Kinematic simulation analysis chart.


Figure 7


Figure 7

Reverse dynamics simulation analysis chart.


Figure 8


Figure 8

Hip reaction force.


Figure 9


Figure 9

Knee reaction force.


Figure 10


Figure 10

Ankle reaction force.

Similar articles

References

    1. Yamaguchi T., Yano M., Onodera H., Hokkirigawa K. Effect of turning angle on falls caused by induced slips during turning. Journal of Biomechanics . 2012;45(15):2624–2629. doi: 10.1016/j.jbiomech.2012.08.006.

      –

      DOI

      –

      PubMed

    1. Kwan M. S., Close J. C. T., Wong A. K. W., Lord S. R. Falls incidence, risk factors, and consequences in Chinese older people: a systematic review. Journal of the American Geriatrics Society . 2011;59(3):536–543. doi: 10.1111/j.1532-5415.2010.03286.x.

      –

      DOI

      –

      PubMed

    1. Zhao C., Lu A. Progress of research on postural stability in the elderly. Zhejiang Sports Science . 2018;1:107–113.

    1. Hamacher D., Törpel A., Hamacher D., Schega L. The effect of physical exhaustion on gait stability in young and older individuals. Gait & Posture . 2016;48:137–139. doi: 10.1016/j.gaitpost.2016.05.007.

      –

      DOI

      –

      PubMed

    1. Terrier P., Reynard F. Effect of age on the variability and stability of gait: a cross-sectional treadmill study in healthy individuals between 20 and 69 years of age. Gait & Posture . 2015;41(1):170–174. doi: 10.1016/j.gaitpost.2014.09.024.

      –

      DOI

      –

      PubMed



Source link

Dataemia value people over profits, quality over quantity, and keeping it real.
United States Holladay UT84121.
Back to top button