高齡化與少子化的趨勢，導致各國勞動族群的退休年限不斷遞增，職業災害與職業病的發生對於家庭、社會與產業的發展都是一大的危害，如何協助勞動族群能保持健康，成為近年來相當受到重視的議題。上肢過度使用所造成的傷害，佔全球職業災害中相當高的比例，目前對於職業災害的預防主要透過環境安全的維護，而醫療領域中更多的則是重視傷後復原的研究與技術發展，在科技發展卓越，智慧型穿戴設備普及的現今，是否有機會透過日常運動與工作中的數據偵測，平日裡對於上肢的自主訓練，或者是透過累積的個人生理訊號能及早發現過度使用產生的疾病，達到預防的效果，另外是否有能夠透過更簡便的穿戴裝置，於家中或任何場域進行傷後的復健訓練，上述即為本研究將探討與發展的議題。本研究將透過非侵入式的表面肌電訊號與慣性量測單元，整合於上肢穿戴式輔具，輔具設計將以人為本的角度出發，進行穿戴行為研究、目標族群人因尺寸規範，以及產品使用性測式，期望開發一套符合勞動族群身形，且便利於此族群人士進行日常訓練與復健的穿戴式智慧輔具產品，並針對此設計領域提出相對應的輔具設計規範，利於未來研究與開發者使用。本研究將透過五點評分使用性量表、動作時間分析、半結構式訪談與表面肌電訊號數值，了解研究開發之上肢智慧輔具，經由結合Nielsen十項使用性原則與通用性設計原則，在設計與改良後的實際成效，以驗證研究提出的上肢輔具設計與設計建議的實質性。

The trend of an aging population and low birth rates has led to a continual increase in the retirement age of the workforce across various countries. Occupational accidents and diseases pose significant risks to families, society, and industrial development. Assisting the workforce in maintaining health has become a highly emphasized issue in recent years. Injuries caused by overuse of the upper limbs account for a considerable proportion of global occupational accidents. Currently, the prevention of occupational accidents mainly involves maintaining safety in the environment, while the medical field focuses more on research and technological development for post-injury recovery. With the advancement of technology and the widespread use of smart wearable devices, there is a possibility to prevent diseases caused by overuse through daily exercise and work data monitoring, autonomous upper limb training, or early detection of diseases through accumulated personal physiological data. Additionally, there is the potential for simpler wearable devices that can be used for post-injury rehabilitation training at home or in any setting. The aforementioned points are the topics this study aims to explore and develop. This study will utilize non-invasive surface electromyography signals and inertial measurement units integrated into upper limb wearable assistive devices. The design of the assistive devices will start from a human-centric perspective, including studies on wearing behavior, anthropometric standards for the target demographic, and product usability testing. The goal is to develop a set of wearable smart assistive devices that fit the labor force's physique and are convenient for daily training and rehabilitation. This study will propose corresponding design standards for assistive devices in this design domain, which will be useful for future researchers and developers. The study will understand the upper limb smart assistive devices developed through a five-point usability scale, motion time analysis, semi-structured interviews, and surface electromyography data. By combining Nielsen's ten usability principles with universal design principles, the actual effectiveness of the design and improvements will be verified to substantiate the proposed upper limb assistive device design and design recommendations.

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