Previous work has shown that it is possible to use a mechanical phase variable to accurately quantify the progression through a human gait cycle, even in the presence of disturbances. However, mechanical phase variables are highly dependent on the behavior of the body segment from which they are measured, which can change with the human’s task or in response to different disturbances. In this study, we compare kinematic parameterization methods based on time, thigh phase angle, and tibia phase angle with motion capture data obtained from ten able-bodied subjects walking at three inclines while experiencing phase-shifting perturbations from a split-belt instrumented treadmill. The belt, direction, and timings of perturbations were quasi-randomly selected to prevent anticipatory action by the subjects and sample different types of perturbations. Statistical analysis revealed that both phase parameterization methods are superior to time parameterization, with thigh phase angle also being superior to tibia phase angle in most cases.

中文翻译：

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跨随机跑步机摄动和倾斜对人的运动进行参数化

先前的工作表明，即使在存在干扰的情况下，也可以使用机械相位变量来准确地量化人类步态周期的进程。但是，机械相位变量高度依赖于从其进行测量的身体部位的行为，该行为可能会随着人类的任务或响应不同的干扰而发生变化。在这项研究中，我们将基于时间，大腿相位角和胫骨相位角的运动学参数化方法与从十个身体健壮的受试者以三个坡度行走时遇到的运动捕获数据进行了比较，同时他们经历了带式皮带式跑步机的相移扰动。准随机地选择扰动的带，方向和时机，以防止受检者采取预期的动作并取样不同类型的扰动。