Estimating Center of Mass Kinematics During Perturbed Human Standing Using Accelerometers
Estimating Center of Mass Kinematics During Perturbed Human Standing Using Accelerometers
复制标题
使用加速度计估计人体站立扰动期间的质量运动中心
DOI:
10.1123/jab.2020-0222
复制
发表时间:
2021
影响因子:
1.4
通讯作者:
Quinn, Roger D.
中科院分区:
文献类型:
--
作者:
Hnat, Sandra K.;Audu, Musa L.;Triolo, Ronald J.;Quinn, Roger D.
Estimating center of mass (COM) through sensor measurements is done to maintain walking and standing stability with exoskeletons. The authors present a method for estimating COM kinematics through an artificial neural network, which was trained by minimizing the mean squared error between COM displacements measured by a gold-standard motion capture system and recorded acceleration signals from body-mounted accelerometers. A total of 5 able-bodied participants were destabilized during standing through: (1) unexpected perturbations caused by 4 linear actuators pulling on the waist and (2) volitionally moving weighted jars on a shelf. Each movement type was averaged across all participants. The algorithm’s performance was quantified by the root mean square error and coefficient of determination (R2) calculated from both the entire trial and during each perturbation type. Throughout the trials and movement types, the average coefficient of determination was 0.83, with 89% of the movements withR2> .70, while the average root mean square error ranged between 7.3% and 22.0%, corresponding to 0.5- and 0.94-cm error in both the coronal and sagittal planes. COM can be estimated in real time for balance control of exoskeletons for individuals with a spinal cord injury, and the procedure can be generalized for other gait studies.