Forsman Mikael, Fan Xuelong, Rhen Ida-Märta, Lind Carl Mikael
School of Engineering Sciences in Chemistry, Biotechnology and Health, KTH Royal Institute of Technology, SE-141 57, Huddinge, Sweden; IMM Institute of Environmental Medicine, Karolinska Institutet, SE-171 77, Stockholm, Sweden; Centre for Occupational and Environmental Medicine, Stockholm County Council, SE-113 65, Stockholm, Sweden.
IMM Institute of Environmental Medicine, Karolinska Institutet, SE-171 77, Stockholm, Sweden.
Appl Ergon. 2022 Nov;105:103841. doi: 10.1016/j.apergo.2022.103841. Epub 2022 Jul 30.
Sensor type (accelerometers only versus inertial measurement units, IMUs) and angular velocity computational method (inclination versus generalized velocity) have been shown to affect the measurements of arm and trunk movements. This study developed models for conversions between accelerometer and IMU measurements of arm and trunk inclination and between accelerometer and IMU measurements of inclination and generalized (arm) velocities. Full-workday recordings from accelerometers and IMUs of arm and trunk postures and movements from 38 warehouse workers were used to develop 4 angular (posture) and 24 angular velocity (movement) conversion models for the distributions of the data. A power function with one coefficient and one exponent was used, and it correlated well (r > 0.999) in all cases to the average curves comparing one measurement with another. These conversion models facilitate the comparison and merging of measurements of arm and trunk movements collected using the two sensor types and the two computational methods.
传感器类型（仅加速度计与惯性测量单元，即IMU）以及角速度计算方法（倾斜度与广义速度）已被证明会影响手臂和躯干运动的测量。本研究建立了加速度计与IMU测量的手臂和躯干倾斜度之间以及加速度计与IMU测量的倾斜度和广义（手臂）速度之间的转换模型。利用38名仓库工人手臂和躯干姿势及运动的加速度计和IMU的全天记录，针对数据分布建立了4个角度（姿势）和24个角速度（运动）转换模型。使用了具有一个系数和一个指数的幂函数，在所有情况下，将一种测量与另一种测量进行比较时，该函数与平均曲线的相关性都很好（r > 0.999）。这些转换模型有助于比较和合并使用两种传感器类型和两种计算方法收集的手臂和躯干运动测量数据。
