Manipulability Analysis of Anterior and Mediolateral Dynamic Gait Stability of Young and Elderly Individuals

Humans maintain postural stability while walking by modulating their spatiotemporal walking features. It is crucial for humans to be able to restore stability in the event of a transient loss. However, the ease of adjusting postural stability has not yet been investigated extensively. This study applied manipulability, a concept widely used in robotics, to analyze the margin of stability (MoS), a measure of dynamic postural stability. The MoS values along each of the anterior and mediolateral directions were modeled as a function of spatiotemporal gait parameters, and the manipulability of the MoS was computed. We observed differences in manipulability between two age groups (60 healthy elderly adults and 60 healthy young individuals in their 20s) from an open database. The manipulability of the elderly was significantly higher than that of the young, suggesting that the elderly employed walking postures that allowed them to adjust their stability with relative ease. Furthermore, for the young group, the manipulability tended to be low when the mediolateral stability was low, with a correlation coefficient of 0.67. In contrast, the elderly group did not exhibit this relationship, showing differences in walking strategies between young and elderly individuals. The manipulability analysis of dynamic gait stability provides insights into revealing human gait strategies.

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Publication Details

Journal
Journal of Robotics and Mechatronics
Published
2024-12-19
DOI
https://doi.org/10.20965/jrm.2024.p1568
Citations
1
Primary Topic
Balance, Gait, and Falls Prevention
Type
article
Field-Weighted Citation Impact
1.15

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article

Manipulability Analysis of Anterior and Mediolateral Dynamic Gait Stability of Young and Elderly Individuals

Tomohito Kuroda, Shogo Okamoto, Yasuhiro Akiyama, Hiroki Watanabe
1 citations
Journal of Robotics and Mechatronics
Balance, Gait, and Falls Prevention
1.15
article

Manipulability Analysis of Anterior and Mediolateral Dynamic Gait Stability of Young and Elderly Individuals

Tomohito Kuroda, Shogo Okamoto, Yasuhiro Akiyama, Hiroki Watanabe
article en
1 citations

Abstract

Humans maintain postural stability while walking by modulating their spatiotemporal walking features. It is crucial for humans to be able to restore stability in the event of a transient loss. However, the ease of adjusting postural stability has not yet been investigated extensively. This study applied manipulability, a concept widely used in robotics, to analyze the margin of stability (MoS), a measure of dynamic postural stability. The MoS values along each of the anterior and mediolateral directions were modeled as a function of spatiotemporal gait parameters, and the manipulability of the MoS was computed. We observed differences in manipulability between two age groups (60 healthy elderly adults and 60 healthy young individuals in their 20s) from an open database. The manipulability of the elderly was significantly higher than that of the young, suggesting that the elderly employed walking postures that allowed them to adjust their stability with relative ease. Furthermore, for the young group, the manipulability tended to be low when the mediolateral stability was low, with a correlation coefficient of 0.67. In contrast, the elderly group did not exhibit this relationship, showing differences in walking strategies between young and elderly individuals. The manipulability analysis of dynamic gait stability provides insights into revealing human gait strategies.

Journal of Robotics and MechatronicsVol. 36(6)
Shinshu University (JP), Tokyo Metropolitan University (JP)
Ministry of Education, Culture, Sports, Science and Technology
Good health and well-being
Openalex Percentile: Top 14%
Balance, Gait, and Falls Prevention
1.15
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Manipulability Analysis of Anterior and Mediolateral Dynamic Gait Stability of Young and Elderly Individuals — Tomohito Kuroda, Shogo Okamoto, et al. · Journal of Robotics and Mechatronics (2024) | TGRS Research Map | TGRS