Matching the Hip Variable Stiffness Feature by an Unpowered Hip Exoskeleton Reduces the Metabolic Cost of Human Walking

Unpowered exoskeletons provide assistance for human walking by recycling negative mechanical energy from lower limb joints. However, current studies fail to further improve the effect of metabolic reduction due to a lack of an optimal match with the variable stiffness of lower limb joints during walking. We analyzed the feature of stiffness variation in the human hip joint and designed an unpowered hip exoskeleton to match that feature. The proposed exoskeleton utilized a mechanism composed of a cam and a linear spring to provide a moment variable in stiffness. This exoskeleton, manually adjustable to fit wearers, reduced the metabolic cost of human walking by $9.14~\pm ~0.85$ % (mean ± s.e.m.) compared to not wearing the exoskeleton. In addition, we found that heavier wearers achieved optimal assistive effects by using exoskeletons with higher stiffness. Our study further enhanced the effectiveness of exoskeletons by optimizing their stiffness feature, which has guiding significance for the subsequent development of exoskeletons.

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Publication Details

Journal
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Published
2025-01-01
DOI
https://doi.org/10.1109/tnsre.2025.3578774
Citations
4
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
2.70

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article

Matching the Hip Variable Stiffness Feature by an Unpowered Hip Exoskeleton Reduces the Metabolic Cost of Human Walking

Hanwen Zhang, WENCHANG CHEN, Caihua Xiong, Qinhao Zhang et al.
4 citations
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Prosthetics and Rehabilitation Robotics
2.70
article

Matching the Hip Variable Stiffness Feature by an Unpowered Hip Exoskeleton Reduces the Metabolic Cost of Human Walking

Hanwen Zhang, WENCHANG CHEN, Caihua Xiong, Qinhao Zhang, Tiancheng Zhou, Zhuoran Li
article en
4 citations

Abstract

Unpowered exoskeletons provide assistance for human walking by recycling negative mechanical energy from lower limb joints. However, current studies fail to further improve the effect of metabolic reduction due to a lack of an optimal match with the variable stiffness of lower limb joints during walking. We analyzed the feature of stiffness variation in the human hip joint and designed an unpowered hip exoskeleton to match that feature. The proposed exoskeleton utilized a mechanism composed of a cam and a linear spring to provide a moment variable in stiffness. This exoskeleton, manually adjustable to fit wearers, reduced the metabolic cost of human walking by $9.14~\pm ~0.85$ % (mean ± s.e.m.) compared to not wearing the exoskeleton. In addition, we found that heavier wearers achieved optimal assistive effects by using exoskeletons with higher stiffness. Our study further enhanced the effectiveness of exoskeletons by optimizing their stiffness feature, which has guiding significance for the subsequent development of exoskeletons.

IEEE Transactions on Neural Systems and Rehabilitation EngineeringVol. 33
Huazhong University of Science and Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 10%
Prosthetics and Rehabilitation Robotics
2.70
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