Towards Human-like Walking with Biomechanical and Neuromuscular Control Features: Personalized Attachment Point Optimization Method of Cable-Driven Exoskeleton
The cable-driven exoskeleton can avoid joint misalignment, and is substantial alterations in the pattern of muscle synergy coordination, which arouse more attention in recent years to facilitate exercise for older adults and improve their overall quality of life. This study leverages principles from...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2024-02-01
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| Series: | Frontiers in Aging Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fnagi.2024.1327397/full |
| _version_ | 1797333167279964160 |
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| author | Yasheng Chen Weiwei Yu Abderraouf Benali Donglai Lu Siong Yuen Kok Runxiao Wang |
| author_facet | Yasheng Chen Weiwei Yu Abderraouf Benali Donglai Lu Siong Yuen Kok Runxiao Wang |
| author_sort | Yasheng Chen |
| collection | DOAJ |
| description | The cable-driven exoskeleton can avoid joint misalignment, and is substantial alterations in the pattern of muscle synergy coordination, which arouse more attention in recent years to facilitate exercise for older adults and improve their overall quality of life. This study leverages principles from neuroscience and biomechanical analysis to select attachment points for cable-driven soft exoskeletons. By extracting key features of human movement, the objective is to develop a subject-specific design methodology that provides precise and personalized support in the attachment points optimization of cable-driven exoskeleton to achieve natural gait, energy efficiency, and muscle coordination controllable in the domain of human mobility and rehabilitation. To achieve this, the study first analyzes human walking experimental data and extracts biomechanical features. These features are then used to generate trajectories, allowing better natural movement under complete cable-driven exoskeleton control. Next, a genetic algorithm-based method is employed to minimize energy consumption and optimize the attachment points of the cable-driven system. This process identifies connections that are better suited for the human model, leading to improved efficiency and natural movement. By comparing the calculated elderly human model driven by exoskeleton with experimental subject in terms of joint angles, joint torques and muscle forces, the human model can successfully replicate subject movement and the cable output forces can mimic human muscle coordination. The optimized cable attachment points facilitate more natural and efficient collaboration between humans and the exoskeleton, making significant contributions to the field of assisting the elderly in rehabilitation. |
| first_indexed | 2024-03-08T07:59:50Z |
| format | Article |
| id | doaj.art-95b9a475f7584e7b9365e85ebb080022 |
| institution | Directory Open Access Journal |
| issn | 1663-4365 |
| language | English |
| last_indexed | 2024-03-08T07:59:50Z |
| publishDate | 2024-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Aging Neuroscience |
| spelling | doaj.art-95b9a475f7584e7b9365e85ebb0800222024-02-02T12:44:04ZengFrontiers Media S.A.Frontiers in Aging Neuroscience1663-43652024-02-011610.3389/fnagi.2024.13273971327397Towards Human-like Walking with Biomechanical and Neuromuscular Control Features: Personalized Attachment Point Optimization Method of Cable-Driven ExoskeletonYasheng Chen0Weiwei Yu1Abderraouf Benali2Donglai Lu3Siong Yuen Kok4Runxiao Wang5School of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, ChinaLISV, Versailles Systems Engineering Laboratory, Université de Versailles Saint Quentin en Yvelines, Paris, FranceSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, ChinaSchool of Mechanical Engineering, Northwestern Polytechnical University, Xi'an, ChinaThe cable-driven exoskeleton can avoid joint misalignment, and is substantial alterations in the pattern of muscle synergy coordination, which arouse more attention in recent years to facilitate exercise for older adults and improve their overall quality of life. This study leverages principles from neuroscience and biomechanical analysis to select attachment points for cable-driven soft exoskeletons. By extracting key features of human movement, the objective is to develop a subject-specific design methodology that provides precise and personalized support in the attachment points optimization of cable-driven exoskeleton to achieve natural gait, energy efficiency, and muscle coordination controllable in the domain of human mobility and rehabilitation. To achieve this, the study first analyzes human walking experimental data and extracts biomechanical features. These features are then used to generate trajectories, allowing better natural movement under complete cable-driven exoskeleton control. Next, a genetic algorithm-based method is employed to minimize energy consumption and optimize the attachment points of the cable-driven system. This process identifies connections that are better suited for the human model, leading to improved efficiency and natural movement. By comparing the calculated elderly human model driven by exoskeleton with experimental subject in terms of joint angles, joint torques and muscle forces, the human model can successfully replicate subject movement and the cable output forces can mimic human muscle coordination. The optimized cable attachment points facilitate more natural and efficient collaboration between humans and the exoskeleton, making significant contributions to the field of assisting the elderly in rehabilitation.https://www.frontiersin.org/articles/10.3389/fnagi.2024.1327397/fullbiomechanical analysisrehabilitation for agingcable-driven exoskeletonneurosciencecable attachment optimizationmuscle force |
| spellingShingle | Yasheng Chen Weiwei Yu Abderraouf Benali Donglai Lu Siong Yuen Kok Runxiao Wang Towards Human-like Walking with Biomechanical and Neuromuscular Control Features: Personalized Attachment Point Optimization Method of Cable-Driven Exoskeleton Frontiers in Aging Neuroscience biomechanical analysis rehabilitation for aging cable-driven exoskeleton neuroscience cable attachment optimization muscle force |
| title | Towards Human-like Walking with Biomechanical and Neuromuscular Control Features: Personalized Attachment Point Optimization Method of Cable-Driven Exoskeleton |
| title_full | Towards Human-like Walking with Biomechanical and Neuromuscular Control Features: Personalized Attachment Point Optimization Method of Cable-Driven Exoskeleton |
| title_fullStr | Towards Human-like Walking with Biomechanical and Neuromuscular Control Features: Personalized Attachment Point Optimization Method of Cable-Driven Exoskeleton |
| title_full_unstemmed | Towards Human-like Walking with Biomechanical and Neuromuscular Control Features: Personalized Attachment Point Optimization Method of Cable-Driven Exoskeleton |
| title_short | Towards Human-like Walking with Biomechanical and Neuromuscular Control Features: Personalized Attachment Point Optimization Method of Cable-Driven Exoskeleton |
| title_sort | towards human like walking with biomechanical and neuromuscular control features personalized attachment point optimization method of cable driven exoskeleton |
| topic | biomechanical analysis rehabilitation for aging cable-driven exoskeleton neuroscience cable attachment optimization muscle force |
| url | https://www.frontiersin.org/articles/10.3389/fnagi.2024.1327397/full |
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