Álvarez Diego, Alvarez Juan C, González Rafael C, López Antonio M
a SiMuR Lab, Department of Electrical and Computer Engineering , University of Oviedo , Viesques, Ed. 2, 33204 , Gijón , Spain.
Comput Methods Biomech Biomed Engin. 2016;19(2):159-70. doi: 10.1080/10255842.2014.997718. Epub 2015 Jan 9.
Usual human motion capture systems are designed to work in controlled laboratory conditions. For occupational health, instruments that can measure during normal daily life are essential, as the evaluation of the workers' movements is a key factor to reduce employee injury- and illness-related costs. In this paper, we present a method for joint angle measurement, combining inertial sensors (accelerometers and gyroscopes) and magnetic sensors. This method estimates wrist flexion, wrist lateral deviation, elbow flexion, elbow pronation, shoulder flexion, shoulder abduction and shoulder internal rotation. The algorithms avoid numerical integration of the signals, which allows for long-time estimations without angle estimation drift. The system has been tested both under laboratory and field conditions. Controlled laboratory tests show mean estimation errors between 0.06° and of 1.05°, and standard deviation between 2.18° and 9.20°. Field tests seem to confirm these results when no ferromagnetic materials are close to the measurement system.
通常的人体运动捕捉系统设计用于在受控的实验室条件下工作。对于职业健康而言，能够在正常日常生活中进行测量的仪器至关重要，因为对工人运动的评估是降低与员工伤病相关成本的关键因素。在本文中，我们提出了一种结合惯性传感器（加速度计和陀螺仪）和磁传感器的关节角度测量方法。该方法可估计手腕屈曲、手腕侧偏、肘部屈曲、肘部旋前、肩部屈曲、肩部外展和肩部内旋。这些算法避免了信号的数值积分，从而能够进行长时间估计而不会出现角度估计漂移。该系统已在实验室和现场条件下进行了测试。受控实验室测试显示平均估计误差在0.06°至1.05°之间，标准差在2.18°至9.20°之间。当测量系统附近没有铁磁材料时，现场测试似乎证实了这些结果。
