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Prediction of lower-limb movements of clutch pedal operation from an existing motion database

机译:从现有运动数据库预测离合器踏板操作的低肢移动

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Pedals are one of the important controls used in vehicles. Compared to hand controls, foot controls often restrict the posture of the user, and an inappropriate pedal design may contribute to muscle fatigue and cause discomfort for drivers. It is very important for engineers to be able to simulate realistic lower limb movements during a pedal control operation using a digital human model at the early stage of its design. Recently, the low-limb movements of clutch pedal operations were investigated experimentally (Wang et al, 2000), and a database was then created. In this paper, an inverse kinematics algorithm will be proposed to predict lower-limb pedal operation motion from the existing motion database. Emphasis will be put on how to keep a predicted motion similar to experimental observation and to satisfy the constraints imposed by the task and the environment at the same time.
机译:踏板是车辆中使用的重要控制之一。与手控制器相比,脚控制经常限制用户的姿势,不适当的踏板设计可能导致肌肉疲劳并导致司机不适。工程师在使用数字人类模型的踏板控制操作期间能够在其设计的早期阶段模拟踏板控制操作中的现实下肢运动是非常重要的。最近,实验研究了离合器踏板操作的低肢运动(Wang等,2000),然后创建了一个数据库。本文将提出一种反向运动学算法来预测现有运动数据库的低肢踏板操作运动。强调如何保持类似于实验观察的预测运动,并同时满足任务和环境所施加的约束。

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