Humans experience small fluctuations in their gait when walking on uneven terrain. The fluctuations deviate from the steady, energy-minimizing pattern for level walking, and have no obvious organization. But humans often look ahead when they walk, and could potentially plan anticipatory fluctuations for the terrain. Such planning is only sensible if it serves some an objective purpose, such as maintaining constant speed or reducing energy expenditure, that is also attainable within finite planning capacity. Here we show that humans do plan and perform optimal control strategies on uneven terrain. Rather than maintain constant speed, they make purposeful, anticipatory speed adjustments that are consistent with minimizing energy expenditure. A simple optimal control model predicts economical speed fluctuations that agree well with experiments with humans (N = 12) walking on seven different terrain profiles (correlated with model ro=0.55+-0.11, P<0.05 all terrains). Participants made repeatable speed fluctuations starting about six to eight steps ahead of each terrain feature (up to +-7.5 cm height difference each step, up to 16 consecutive features). Nearer features matter more, because energy is dissipated with each succeeding step collision with ground, preventing momentum from persisting indefinitely. A finite horizon of continuous look ahead and motor working space thus suffice to practically optimize for any length of terrain. Humans reason about walking in the near future to plan complex optimal control sequences.
翻译:人类在不均匀的地形上行走时,其动作波动幅度很小。 波动偏离了稳定、能量最小化的水平行走模式,没有明显的组织。 但是人类在行走时往往向前看,并有可能计划地形的预测性波动。 只有当这种规划服务于某种客观目的,例如保持恒定速度或减少能源支出,这也是在有限规划能力范围内可以实现的。 这里我们显示,人类确实在不均匀的地形上规划和实施最佳控制战略。 而不是保持固定速度,而是有目的的、预测性的速度调整,这与最大限度减少能源支出一致。 简单的最佳控制模式预测经济速度波动,这与人类(N=12)在行走时的实验非常吻合,并有可能对地形进行预测性波动。 这种规划只有在符合某种客观目的,例如保持恒定速度或减少能源支出,这也可以在有限的规划能力范围内实现。 这里我们显示,人类在不均匀的地形特征上,从大约六至八个步骤开始,每个步骤的高度差异达7.5厘米,直到连续16个特征。 更接近于更近的地貌,因为能源在接近于每一步步步步步步的轨道上都接近于一个不固定的轨道上,从而无法持续地步步步步步,从而持续地压。