分析人类日常生活中的手臂运动,提高人工肘关节的耐久性

Chihiro Kamio, T. Aihara, G. Minorikawa
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引用次数: 0

摘要

人员流动数据有助于提高受此类流动影响的工业和医疗产品的质量。这些数据可用于提高工业产品的质量,也可用于医疗保健应用,例如人工关节的开发。为了开发和设计耐久性更高的人工关节,有必要利用日常生活中的人体运动数据来建立耐久性标准。本研究的目的是获得有助于提高人工肘关节耐久性的数据。我们开发了一种可穿戴设备,可以测量其自身加速度,角速度和四元数,以长期连续收集人体运动数据。此外,我们收集了30名参与者使用开发的设备的手臂运动数据。这项研究的参与者戴着手腕上的测量装置继续他们的正常生活。本研究使用四元数计算手腕姿势随时间的变化,主要分析姿势的变化。阐明了人类日常生活中肘部弯曲运动的特点和趋势。
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Arm Movement Analysis in Human Daily Life for Improving Durability of Artificial Elbow Joint
Human movement data can contribute to the quality improvement of industrial and medical products affected by such movement. Such data can be used to improve the quality of industrial products as well as in healthcare applications, such as the development of artificial joints. To develop and design artificial joints with enhance durability, it is necessary to set up standards of durability using human movement data in daily life. The aim of this study is to obtain data that contributes to the improvement in durability of artificial elbow joints. We have developed a wearable device that can measure its self-acceleration, angular velocity, and quaternions to collect human movement data continuously for long-term. Additionally, we collected the arm movement data of 30 participants using the developed device. The participants of this study carried on with their normal lives with the measuring device worn on their wrist. This study calculated the posture of the wrist over time using quaternions and mainly analyzed posture changes. We clarified the characteristics and trends of the movement of bending the elbow in daily human life.
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