Design of a Wearable Exoskeleton Piano Practice Aid Based on Multi-Domain Mapping and Top-Down Process Model

作者：Qiujian Xu, Meihui Li, Guoqiang Chen, Xiubo Ren, Dan Yang, Junrui Li, Xinran Yuan, Siqi Liu, Miaomiao Yang, Mufan Chen, Bo Wang, Peng Zhang, H. L. · 发表于：Biomimetics · 年份：2024 · DOI：10.3390/biomimetics10010015 · 被引用次数：5 · 研究领域：Stroke Rehabilitation and Recovery、Prosthetics and Rehabilitation Robotics、Muscle activation and electromyography studies

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 co...