Muscular Effort for the Characterization of Human Postural Behaviors
Muscular Effort for the Characterization of Human Postural Behaviors
复制标题
用于表征人类姿势行为特征的肌肉力量
DOI：
10.1007/978-3-319-23778-7_45
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
Y.
中科院分区：
文献类型：
--
作者：
Demircan;E.;Murai;A.;Khatib;O.;and Nakamura;Y.
人类在无限的可能性中选择特定的姿势是一个漫长而复杂的学习过程的结果。通过学习，人类似乎发现了自己身体的特性，以及在执行任务时如何最好地利用它们。利用身体的运动学特征，人类有效地利用身体的机械优势来改善肌肉张力转化为任务所需的力的传输。然而，这种传输的效率也受到人体肌肉致动生理学和动力学的影响。通过调整身体结构来最大限度地将肌肉张力传递给最终的任务部队，人类实际上是在利用他们的肌肉骨骼系统的生理力学优势。在这里，我们通过几个实验验证人类的生理力学优势。基于分析的结果，我们得出结论，在学习任务中，生理力学优势的优化对应于人类肌肉努力的总体最小化。这里提出的方法可以应用于人体肌肉骨骼模型的运动控制，其中控制是任务驱动的，任务一致的姿势是由肌肉标准驱动的。
The human selection of specific postures among the infinity of possibilities is the result of a long and complex process of learning. Through learning, humans seem to come to discover the properties of their bodies and how best to put them to use when performing a task. Exploiting the body’s kinematic characteristics, humans effectively use the body’s mechanical advantage to improve the transmission of the muscles’ tension into the forces the task requires. However, the efficiency of this transmission is also affected by the human muscle actuation physiology and dynamics. By also adjusting the body configurations to maximize this transmission of muscle tensions to resulting task forces, humans are in fact exploiting what can be termed the physiomechanical advantage of their musculoskeletal system. Here, we investigate the physiomechanical advantage of humans through several experimental validations. Based on the results of the analysis, we conclude that in learned tasks the optimization of the physiomechanical advantage corresponds to the overall minimization of the human muscular effort. The approach presented here can be applied for the motion control of human musculoskeletal models where the control is task-driven and the task consistent postures are driven by the muscular criteria.