无模型步态感知阶段

J. Boyd, J. Little
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引用次数: 14

摘要

人类步态的变化体现在步态中许多联合运动的时间上。在周期性系统中,例如步态,时间减少到相位。因此,为了捕捉步态计时模式中的重要信息,必须考虑相位。步态的变化有几个原因,包括不同的体型、个人的情绪、疲劳和受伤。我们通过分析几个主观不同的步态图像序列,研究了无模型运动形状相位分析与步态主观描述之间的关系,例如正常步态与疲劳步态或洗牌步态。一个基于相量表示步态运动的简单模型将四肢的摆状运动与运动形状特征联系起来。我们的最终目标是建立一个步态特征空间,可以根据步态的主观感知进行分割。随主观步态变化而变化的步态特征导致了这一方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Phase in model-free perception of gait
Variations in human gaits are manifest in the timing of the many combined motions in the gait. In periodic systems, such as a gait, timing reduces to phase. Therefore, in order to capture the important information in the timing patterns in a gait, one must consider phase. Gaits vary for several reasons, including different builds, moods of individuals, fatigue and injury. We investigate the relationship between the model-free shape-of-motion phase analysis and a subjective description of gait, such as a normal gait versus a tired gait or a shuffle, by analyzing several gait image sequences that differ subjectively. A simple model based on a phasor representation of gait motion relates the pendulum-like motion of limbs to shape-of-motion features. Our ultimate goal is to develop a gait feature space that can be partitioned according to subjective perception of gait. Gait features that vary with subjective changes in gait lead in this direction.
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