Ph.D. Program in Engineering, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150002, Colombia.
Faculty of Engineering, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150002, Colombia.
Sensors (Basel). 2022 Jun 29;22(13):4898. doi: 10.3390/s22134898.
This paper presents a model that enables the transformation of digital signals generated by an inertial and magnetic motion capture system into kinematic information. First, the operation and data generated by the used inertial and magnetic system are described. Subsequently, the five stages of the proposed model are described, concluding with its implementation in a virtual environment to display the kinematic information. Finally, the applied tests are presented to evaluate the performance of the model through the execution of four exercises on the upper limb: flexion and extension of the elbow, and pronation and supination of the forearm. The results show a mean squared error of 3.82° in elbow flexion-extension movements and 3.46° in forearm pronation-supination movements. The results were obtained by comparing the inertial and magnetic system versus an optical motion capture system, allowing for the identification of the usability and functionality of the proposed model.
本文提出了一种将惯性和磁场运动捕捉系统生成的数字信号转换为运动学信息的模型。首先，描述了所使用的惯性和磁场系统的操作和生成的数据。随后，描述了所提出模型的五个阶段，最后在虚拟环境中实现了运动学信息的显示。最后，通过在上肢执行四项运动来评估模型的性能：肘部的屈伸运动以及前臂的旋前和旋后运动，展示了应用测试结果。结果显示，肘部屈伸运动的均方根误差为 3.82°，前臂旋前-旋后运动的均方根误差为 3.46°。通过将惯性和磁场系统与光学运动捕捉系统进行比较，获得了这些结果，从而验证了所提出模型的可用性和功能性。
