Minimal predicted distance: A common metric for collision avoidance during pairwise interactions between walkers
Minimal predicted distance: A common metric for collision avoidance during pairwise interactions between walkers
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DOI：
10.1016/j.gaitpost.2012.03.021
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发表时间：
2012-07-01
期刊：
影响因子：
2.4
通讯作者：
Pettre, Julien
中科院分区：
文献类型：
--
作者：
Olivier, Anne-Helene;Marin, Antoine;Pettre, Julien
这项研究通过研究在运动轨迹中导致回避动作的条件来研究两个步行者之间的碰撞避免。根据相互作用的假设，我们提出了一个共同变量，作为两个步行者状态的连续函数，表示为最小预测距离(MPD)。该函数预测碰撞的风险，其随时间的演变捕获步行者执行的运动适应。以两人为一组，30名步行者被分配了可能导致碰撞的移动任务。结果显示，步行者仅在需要时才调整动作，即当MPD太低时(
This study investigated collision avoidance between two walkers by focusing on the conditions that lead to avoidance manoeuvres in locomotor trajectories. Following the hypothesis of a reciprocal interaction, we suggested a mutual variable as a continuous function of the two walkers' states, denoted minimum predicted distance (MPD). This function predicts the risk of collision, and its evolution over time captures the motion adaptations performed by the walkers. By groups of two, 30 walkers were assigned locomotion tasks which lead to potential collisions. Results showed that walkers adapted their motions only when required, i.e., when MPD is too low (