Stability basin estimates fall risk from observed kinematics, demonstrated on the Sit-to-Stand task.
Stability basin estimates fall risk from observed kinematics, demonstrated on the Sit-to-Stand task.
复制标题
稳定盆根据观察到的运动学估计跌倒风险，并在坐站任务中得到演示。
DOI：
10.1016/j.jbiomech.2018.02.022
复制
发表时间：
2018
影响因子：
2.4
通讯作者：
Ram Vasudevan
中科院分区：
文献类型：
--
作者：
Victor Shia;Talia Y. Moore;P. Holmes;R. Bajcsy;Ram Vasudevan
定量测量稳定性的能力是确保移动系统安全的关键。虽然对扰动的反应直接反映了运动的稳定性，但这种实验方法将人类受试者置于危险之中。不幸的是，现有的从不受干扰的运动中估计稳定性的间接方法已被证明预测能力有限。本文利用动力学系统理论的最新进展，在不需要摄动的情况下准确地估计人体运动的稳定性。这种方法依赖于对标称的坐立运动的运动学观察来构建特定于个体的动态模型、输入范围和反馈控制，然后使用它们来计算模型可以从中恢复的扰动集。这个集合被称为稳定性盆地，对14个人进行了计算，能够以比现有方法更准确的方式成功地区分每个人更少和更稳定的坐立策略。
The ability to quantitatively measure stability is essential to ensuring the safety of locomoting systems. While the response to perturbation directly reflects the stability of a motion, this experimental method puts human subjects at risk. Unfortunately, existing indirect methods for estimating stability from unperturbed motion have been shown to have limited predictive power. This paper leverages recent advances in dynamical systems theory to accurately estimate the stability of human motion without requiring perturbation. This approach relies on kinematic observations of a nominal Sit-to-Stand motion to construct an individual-specific dynamic model, input bounds, and feedback control that are then used to compute the set of perturbations from which the model can recover. This set, referred to as the stability basin, was computed for 14 individuals, and was able to successfully differentiate between less and more stable Sit-to-Stand strategies for each individual with greater accuracy than existing methods.
影响因子：
2.1
作者：
Cusumano, Joseph P.;Dingwell, Jonathan B.
通讯作者：
Dingwell, Jonathan B.
影响因子：
3.2
作者：
Shumway-Cook, A;Brauer, S;Woollacott, M
通讯作者：
Woollacott, M
影响因子：
2.4
作者：
Jagodnik, Kathleen M.;van den Bogert, Antonie J.
通讯作者：
van den Bogert, Antonie J.