Shoe-Like Unpowered Exoskeleton With Energy Harvesting for Enhanced Walking Economy

The development of an exoskeleton to enhance walking efficiency and reduce energy consumption is crucial. However, current designs face challenges such as excessive weight, conspicuous appearance, and power constraints, limiting real-world applications. This study explored the energy conversion mechanism in gait analysis, leading to the development of a walking-phase sensing trigger combined with springs as an unpowered energy-harvesting device. This device captures and stores negative mechanical energy during walking, releasing it during the push-off phase to assist propulsion. The proposed design integrates a single-slider crank mechanism, ratchet, and springs, creating an innovative, unpowered shoe-like exoskeleton. Its shoe-like appearance enhances concealment for users. Walking experiments evaluated the exoskeleton's effectiveness under varying spring stiffness conditions. The results showed a significant 7.77%±1.49% (mean ± s.e.m.) reduction in energy expenditure when wearing the exoskeleton during level walking. Furthermore, heartbeat and plantar flexor muscle activity decreased, and no significant interferences were observed in walking similarity, step length, or frequency. In slope walking, although the assistive effect was reduced compared to level walking, the device did not increase overall physical exertion. Notably, metabolic cost and heart rate remained lower than the baseline, while muscle activity outcomes varied, with reductions observed in some muscles and increases in others. These findings support the proposed device's effectiveness on level terrain while also highlighting its limitations on inclined surfaces.

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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.2025.3579359
Citations
1
Primary Topic
Prosthetics and Rehabilitation Robotics
Type
article
Field-Weighted Citation Impact
0.67

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article

Shoe-Like Unpowered Exoskeleton With Energy Harvesting for Enhanced Walking Economy

Jyun-Rong Zhuang, Yi‐Chen Lin, Won Hyuk Chang
1 citations
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Prosthetics and Rehabilitation Robotics
0.67
article

Shoe-Like Unpowered Exoskeleton With Energy Harvesting for Enhanced Walking Economy

Jyun-Rong Zhuang, Yi‐Chen Lin, Won Hyuk Chang
article en
1 citations

Abstract

The development of an exoskeleton to enhance walking efficiency and reduce energy consumption is crucial. However, current designs face challenges such as excessive weight, conspicuous appearance, and power constraints, limiting real-world applications. This study explored the energy conversion mechanism in gait analysis, leading to the development of a walking-phase sensing trigger combined with springs as an unpowered energy-harvesting device. This device captures and stores negative mechanical energy during walking, releasing it during the push-off phase to assist propulsion. The proposed design integrates a single-slider crank mechanism, ratchet, and springs, creating an innovative, unpowered shoe-like exoskeleton. Its shoe-like appearance enhances concealment for users. Walking experiments evaluated the exoskeleton's effectiveness under varying spring stiffness conditions. The results showed a significant 7.77%±1.49% (mean ± s.e.m.) reduction in energy expenditure when wearing the exoskeleton during level walking. Furthermore, heartbeat and plantar flexor muscle activity decreased, and no significant interferences were observed in walking similarity, step length, or frequency. In slope walking, although the assistive effect was reduced compared to level walking, the device did not increase overall physical exertion. Notably, metabolic cost and heart rate remained lower than the baseline, while muscle activity outcomes varied, with reductions observed in some muscles and increases in others. These findings support the proposed device's effectiveness on level terrain while also highlighting its limitations on inclined surfaces.

IEEE Transactions on Neural Systems and Rehabilitation EngineeringVol. 33
National Chung Hsing University (TW)
National Science and Technology Council
Openalex Percentile: Top 30%
Prosthetics and Rehabilitation Robotics
0.67
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