Literature DB >> 29456169

Kinematics of lower limbs during walking are emulated by springy walking model with a compliantly connected, off-centered curvy foot.

Hyerim Lim1, Sukyung Park2.   

Abstract

The dynamics of the center of mass (CoM) during walking and running at various gait conditions are well described by the mechanics of a simple passive spring loaded inverted pendulum (SLIP). Due to its simplicity, however, the current form of the SLIP model is limited at providing any further information about multi-segmental lower limbs that generate oscillatory CoM behaviors and their corresponding ground reaction forces. Considering that the dynamics of the CoM are simply achieved by mass-spring mechanics, we wondered whether any of the multi-joint motions could be demonstrated by simple mechanics. In this study, we expand a SLIP model of human locomotion with an off-centered curvy foot connected to the leg by a springy segment that emulates the asymmetric kinematics and kinetics of the ankle joint. The passive dynamics of the proposed expansion of the SLIP model demonstrated the empirical data of ground reaction forces, center of mass trajectories, ankle joint kinematics and corresponding ankle joint torque at various gait speeds. From the mechanically simulated trajectories of the ankle joint and CoM, the motion of lower-limb segments, such as thigh and shank angles, could be estimated from inverse kinematics. The estimation of lower limb kinematics showed a qualitative match with empirical data of walking at various speeds. The representability of passive compliant mechanics for the kinetics of the CoM and ankle joint and lower limb joint kinematics implies that the coordination of multi-joint lower limbs during gait can be understood with a mechanical framework.
Copyright © 2018 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Ankle joint; Center of mass; Compliant leg; Curvy foot; Spring loaded inverted pendulum; Walking

Mesh:

Year:  2018        PMID: 29456169     DOI: 10.1016/j.jbiomech.2018.01.031

Source DB:  PubMed          Journal:  J Biomech        ISSN: 0021-9290            Impact factor:   2.712


  3 in total

1.  Prediction of Lower Limb Kinetics and Kinematics during Walking by a Single IMU on the Lower Back Using Machine Learning.

Authors:  Hyerim Lim; Bumjoon Kim; Sukyung Park
Journal:  Sensors (Basel)       Date:  2019-12-24       Impact factor: 3.576

2.  Estimation of Three-Dimensional Lower Limb Kinetics Data during Walking Using Machine Learning from a Single IMU Attached to the Sacrum.

Authors:  Myunghyun Lee; Sukyung Park
Journal:  Sensors (Basel)       Date:  2020-11-04       Impact factor: 3.576

3.  Identification of COM Controller of a Human in Stance Based on Motion Measurement and Phase-Space Analysis.

Authors:  Tomomichi Sugihara; Daishi Kaneta; Nobuyuki Murai
Journal:  Front Robot AI       Date:  2022-01-04
  3 in total

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