Industrial & Systems Engineering and Engineering Management Department, The University of Alabama in Huntsville, Huntsville, AL, USA; Department of Mechanical Engineering, Auburn University, Auburn, AL, USA.
Department of Industrial & Systems Engineering, Auburn University, Auburn, AL, USA.
Appl Ergon. 2023 May;109:103981. doi: 10.1016/j.apergo.2023.103981. Epub 2023 Feb 3.
High movement velocities are among the primary risk factors for work-related musculoskeletal disorders (MSDs). Ergonomists have commonly used two methods to calculate angular movement velocities of the upper arms using inertial measurement units (accelerometers and gyroscopes). Generalized velocity is the speed of movement traveled on the unit sphere per unit time. Inclination velocity is the derivative of the postural inclination angle relative to gravity with respect to time. Neither method captures the full extent of upper arm angular velocity. We propose a new method, the gyroscope vector magnitude (GVM), and demonstrate how GVM captures angular velocities around all motion axes and more accurately represents the true angular velocities of the upper arm. We use optical motion capture data to demonstrate that the previous methods for calculating angular velocities capture 89% and 77% relative to our proposed method.
高运动速度是与工作相关的肌肉骨骼疾病 (MSD) 的主要风险因素之一。人体工程学家通常使用两种方法使用惯性测量单元 (加速度计和陀螺仪) 来计算上臂的角运动速度。广义速度是单位时间内在单位球上移动的速度。倾斜速度是相对于重力的姿势倾斜角度相对于时间的导数。这两种方法都无法完全捕捉到上臂角速度的范围。我们提出了一种新方法，即陀螺仪矢量幅度 (GVM)，并演示了 GVM 如何捕获所有运动轴的角速度，并更准确地表示上臂的真实角速度。我们使用光学运动捕捉数据证明，以前用于计算角速度的方法相对于我们提出的方法分别捕获了 89%和 77%。
