Literature DB >> 23775488

Quantifying dynamic characteristics of human walking for comprehensive gait cycle.

Carlotta Mummolo1, Luigi Mangialardi, Joo H Kim.   

Abstract

Normal human walking typically consists of phases during which the body is statically unbalanced while maintaining dynamic stability. Quantifying the dynamic characteristics of human walking can provide better understanding of gait principles. We introduce a novel quantitative index, the dynamic gait measure (DGM), for comprehensive gait cycle. The DGM quantifies the effects of inertia and the static balance instability in terms of zero-moment point and ground projection of center of mass and incorporates the time-varying foot support region (FSR) and the threshold between static and dynamic walking. Also, a framework of determining the DGM from experimental data is introduced, in which the gait cycle segmentation is further refined. A multisegmental foot model is integrated into a biped system to reconstruct the walking motion from experiments, which demonstrates the time-varying FSR for different subphases. The proof-of-concept results of the DGM from a gait experiment are demonstrated. The DGM results are analyzed along with other established features and indices of normal human walking. The DGM provides a measure of static balance instability of biped walking during each (sub)phase as well as the entire gait cycle. The DGM of normal human walking has the potential to provide some scientific insights in understanding biped walking principles, which can also be useful for their engineering and clinical applications.

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Year:  2013        PMID: 23775488     DOI: 10.1115/1.4024755

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  10 in total

1.  Hybrid Zero Dynamics Control for Gait Guidance of a Novel Adjustable Pediatric Lower-Limb Exoskeleton.

Authors:  Anthony Goo; Curt A Laubscher; Jason J Wiebrecht; Ryan J Farris; Jerzy T Sawicki
Journal:  Bioengineering (Basel)       Date:  2022-05-12

2.  State-Space Characterization of Balance Capabilities in Biped Systems with Segmented Feet.

Authors:  Carlotta Mummolo; Kubra Akbas; Giuseppe Carbone
Journal:  Front Robot AI       Date:  2021-02-26

3.  Instantaneous Metabolic Cost of Walking: Joint-Space Dynamic Model with Subject-Specific Heat Rate.

Authors:  Dustyn Roberts; Howard Hillstrom; Joo H Kim
Journal:  PLoS One       Date:  2016-12-28       Impact factor: 3.240

4.  Gait Estimation from Anatomical Foot Parameters Measured by a Foot Feature Measurement System using a Deep Neural Network Model.

Authors:  Kyung-Ryoul Mun; Gyuwon Song; Sungkuk Chun; Jinwook Kim
Journal:  Sci Rep       Date:  2018-06-29       Impact factor: 4.379

5.  Pilot Study of the EncephaLog Smartphone Application for Gait Analysis.

Authors:  Keren Tchelet; Alit Stark-Inbar; Ziv Yekutieli
Journal:  Sensors (Basel)       Date:  2019-11-26       Impact factor: 3.576

6.  Biomechanical Analysis of Concealed Pack Load Influences on Terrorist Gait Signatures Derived from Gröbner Basis Theory.

Authors:  Sean S Kohles; Anum Barki; Kimberly D Kendricks; Ronald F Tuttle
Journal:  J Forensic Biomech       Date:  2014-10-14

7.  A Computational Framework Towards the Tele-Rehabilitation of Balance Control Skills.

Authors:  Kubra Akbas; Carlotta Mummolo
Journal:  Front Robot AI       Date:  2021-06-09

8.  Gait analysis methods: an overview of wearable and non-wearable systems, highlighting clinical applications.

Authors:  Alvaro Muro-de-la-Herran; Begonya Garcia-Zapirain; Amaia Mendez-Zorrilla
Journal:  Sensors (Basel)       Date:  2014-02-19       Impact factor: 3.576

9.  Stability of Mina v2 for Robot-Assisted Balance and Locomotion.

Authors:  Carlotta Mummolo; William Z Peng; Shlok Agarwal; Robert Griffin; Peter D Neuhaus; Joo H Kim
Journal:  Front Neurorobot       Date:  2018-10-15       Impact factor: 2.650

10.  An Acceleration Based Fusion of Multiple Spatiotemporal Networks for Gait Phase Detection.

Authors:  Tao Zhen; Lei Yan; Jian-Lei Kong
Journal:  Int J Environ Res Public Health       Date:  2020-08-05       Impact factor: 3.390

  10 in total

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