Design of a Wearable Exoskeleton Piano Practice Aid Based on Multi-Domain Mapping and Top-Down Process Model
This study designs and develops a wearable exoskeleton piano assistance system for individuals recovering from neurological injuries, aiming to help users regain the ability to perform complex tasks such as playing the piano. While soft robotic exoskeletons have proven effective in rehabilitation th...
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-12-01
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| Series: | Biomimetics |
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| Online Access: | https://www.mdpi.com/2313-7673/10/1/15 |
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| author | Qiujian Xu Meihui Li Guoqiang Chen Xiubo Ren Dan Yang Junrui Li Xinran Yuan Siqi Liu Miaomiao Yang Mufan Chen Bo Wang Peng Zhang Huiguo Ma |
| author_facet | Qiujian Xu Meihui Li Guoqiang Chen Xiubo Ren Dan Yang Junrui Li Xinran Yuan Siqi Liu Miaomiao Yang Mufan Chen Bo Wang Peng Zhang Huiguo Ma |
| author_sort | Qiujian Xu |
| collection | DOAJ |
| description | This study designs and develops a wearable exoskeleton piano assistance system for individuals recovering from neurological injuries, aiming to help users regain the ability to perform complex tasks such as playing the piano. While soft robotic exoskeletons have proven effective in rehabilitation therapy and daily activity assistance, challenges remain in performing highly dexterous tasks due to structural complexity and insufficient motion accuracy. To address these issues, we developed a modular division method based on multi-domain mapping and a top-down process model. This method integrates the functional domain, structural domain, and user needs domain, and explores the principles and methods for creating functional construction modules, overcoming the limitations of traditional top-down approaches in design flexibility. By closely combining layout constraints with the design model, this method significantly improves the accuracy and efficiency of module configuration, offering a new path for the development of piano practice assistance devices. The results demonstrate that this device innovatively combines piano practice with rehabilitation training and through the introduction of ontological modeling methods, resolves the challenges of multidimensional needs mapping. Based on five user requirements (P), we calculated the corresponding demand weight (K), making the design more aligned with user needs. The device excels in enhancing motion accuracy, interactivity, and comfort, filling the gap in traditional piano assistance devices in terms of multi-functionality and high adaptability, and offering new ideas for the design and promotion of intelligent assistive devices. Simulation analysis, combined with the motion trajectory of the finger’s proximal joint, calculates that 60° is the maximum bending angle for the aforementioned joint. Physical validation confirms the device’s superior performance in terms of reliability and high-precision motion reproduction, meeting the requirements for piano-assisted training. Through multi-domain mapping, the top-down process model, and modular design, this research effectively breaks through the design flexibility and functional adaptability bottleneck of traditional piano assistance devices while integrating neurological rehabilitation with music education, opening up a new application path for intelligent assistive devices in the fields of rehabilitation medicine and arts education, and providing a solution for cross-disciplinary technology fusion and innovative development. |
| format | Article |
| id | doaj-art-399a468bb9a84eb6a02d4c3afbc3e7b5 |
| institution | Kabale University |
| issn | 2313-7673 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Biomimetics |
| spelling | doaj-art-399a468bb9a84eb6a02d4c3afbc3e7b52025-01-24T13:24:35ZengMDPI AGBiomimetics2313-76732024-12-011011510.3390/biomimetics10010015Design of a Wearable Exoskeleton Piano Practice Aid Based on Multi-Domain Mapping and Top-Down Process ModelQiujian Xu0Meihui Li1Guoqiang Chen2Xiubo Ren3Dan Yang4Junrui Li5Xinran Yuan6Siqi Liu7Miaomiao Yang8Mufan Chen9Bo Wang10Peng Zhang11Huiguo Ma12School of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, ChinaYSU & DCU Joint Research Centre for the Arts, Music College, Daegu Catholic University, Daegu 38430, Republic of KoreaSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, ChinaYSU & DCU Joint Research Centre for the Arts, Music College, Daegu Catholic University, Daegu 38430, Republic of KoreaYSU & DCU Joint Research Centre for the Arts, Music College, Daegu Catholic University, Daegu 38430, Republic of KoreaSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, ChinaSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, ChinaSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, ChinaSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, ChinaSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, ChinaHebei Design Innovation & Industrial Development Research Center (DIIDRC), Yanshan University, Haigang District, Qinhuangdao 066000, ChinaSchool of Arts and Design, Yanshan University, Haigang District, Qinhuangdao 066000, ChinaSchool of Information Engineering, Quanzhou Ocean Institute, Quanzhou 362700, ChinaThis study designs and develops a wearable exoskeleton piano assistance system for individuals recovering from neurological injuries, aiming to help users regain the ability to perform complex tasks such as playing the piano. While soft robotic exoskeletons have proven effective in rehabilitation therapy and daily activity assistance, challenges remain in performing highly dexterous tasks due to structural complexity and insufficient motion accuracy. To address these issues, we developed a modular division method based on multi-domain mapping and a top-down process model. This method integrates the functional domain, structural domain, and user needs domain, and explores the principles and methods for creating functional construction modules, overcoming the limitations of traditional top-down approaches in design flexibility. By closely combining layout constraints with the design model, this method significantly improves the accuracy and efficiency of module configuration, offering a new path for the development of piano practice assistance devices. The results demonstrate that this device innovatively combines piano practice with rehabilitation training and through the introduction of ontological modeling methods, resolves the challenges of multidimensional needs mapping. Based on five user requirements (P), we calculated the corresponding demand weight (K), making the design more aligned with user needs. The device excels in enhancing motion accuracy, interactivity, and comfort, filling the gap in traditional piano assistance devices in terms of multi-functionality and high adaptability, and offering new ideas for the design and promotion of intelligent assistive devices. Simulation analysis, combined with the motion trajectory of the finger’s proximal joint, calculates that 60° is the maximum bending angle for the aforementioned joint. Physical validation confirms the device’s superior performance in terms of reliability and high-precision motion reproduction, meeting the requirements for piano-assisted training. Through multi-domain mapping, the top-down process model, and modular design, this research effectively breaks through the design flexibility and functional adaptability bottleneck of traditional piano assistance devices while integrating neurological rehabilitation with music education, opening up a new application path for intelligent assistive devices in the fields of rehabilitation medicine and arts education, and providing a solution for cross-disciplinary technology fusion and innovative development.https://www.mdpi.com/2313-7673/10/1/15multi-domain mappinglayout solutionwearable exoskeletonpiano practice assistance device |
| spellingShingle | Qiujian Xu Meihui Li Guoqiang Chen Xiubo Ren Dan Yang Junrui Li Xinran Yuan Siqi Liu Miaomiao Yang Mufan Chen Bo Wang Peng Zhang Huiguo Ma Design of a Wearable Exoskeleton Piano Practice Aid Based on Multi-Domain Mapping and Top-Down Process Model Biomimetics multi-domain mapping layout solution wearable exoskeleton piano practice assistance device |
| title | Design of a Wearable Exoskeleton Piano Practice Aid Based on Multi-Domain Mapping and Top-Down Process Model |
| title_full | Design of a Wearable Exoskeleton Piano Practice Aid Based on Multi-Domain Mapping and Top-Down Process Model |
| title_fullStr | Design of a Wearable Exoskeleton Piano Practice Aid Based on Multi-Domain Mapping and Top-Down Process Model |
| title_full_unstemmed | Design of a Wearable Exoskeleton Piano Practice Aid Based on Multi-Domain Mapping and Top-Down Process Model |
| title_short | Design of a Wearable Exoskeleton Piano Practice Aid Based on Multi-Domain Mapping and Top-Down Process Model |
| title_sort | design of a wearable exoskeleton piano practice aid based on multi domain mapping and top down process model |
| topic | multi-domain mapping layout solution wearable exoskeleton piano practice assistance device |
| url | https://www.mdpi.com/2313-7673/10/1/15 |
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