Approximating the reachable space of human walking paths: a low dimensional linear approach
Approximating the reachable space of human walking paths: a low dimensional linear approach
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近似人类步行路径的可达空间：低维线性方法
DOI：
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发表时间：
2009
期刊：
影响因子：
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通讯作者：
Gustavo Arechavaleta
中科院分区：
文献类型：
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作者：
Mario Castelán;Gustavo Arechavaleta
在这项工作中，我们的目标是利用主成分分析构建的统计模型来展示人类行走轨迹的几何形状原语。这一分析提供了足够的信息来推导基于实例的线性类人路径生成器。这些例子是由人类行走轨迹的动作捕捉数据库提供的。提出的模型根据路径长度和变形来捕获轨迹的形状。我们已经成功地将我们的模型应用于计算人类行走可达空间的良好近似值。这可以用一个微不足道的计算成本来完成，因为它是基于基本人类路径的线性组合。
In this work, we aim to exhibit the geometrical shape primitives of human walking trajectories using a statistical model constructed through Principal Component Analysis. This analysis provides sufficient information to derive a linear human-like path generator based on examples. The examples are provided by a motion capture database of human walking trajectories. The proposed model captures the shape of trajectories in terms of path length and deformation. We have successfully applied our model to compute a good approximation of the reachable space of human walking. This can be done with a negligible computational cost since it is based on a linear combination of basis human paths.