BACKGROUND: Studies on the dynamics of motion changes in pedal joint has been widely applied in clinical gait analysis, industrial robots and shoes making.
背景：足关节运动变化的动力学研究被广泛应用于临床步态分析、工业机器人和制鞋等领域。
The results show that forward dynamics theory can model the limb movements, muscular forces and neural control signals to simulate the control of a natural gait.
计算结果与实验测量的比较表明：正向动力学方法可将肢体运动状态、肌肉收缩力、神经控制信号等联系起来，求解人体步态的控制模式。
Gait designs were divided into two main categories: reference trajectory and natural dynamics.
把两足机器人步态综合方法分为参考轨迹法和自然动力学法两大技术流派。
ConclusionsNormal gait initiation has its unique characteristics, and the kinematics and dynamics parameters obtained in such status will be helpful for gait analysis and biorobot design.
结论正常人起动步态具有自身特征，该状态下运动学和动力学参数的获取将为步态分析及仿生机器人的研制提供帮助。
ConclusionsNormal gait initiation has its unique characteristics, and the kinematics and dynamics parameters obtained in such status will be helpful for gait analysis and biorobot design.
结论正常人起动步态具有自身特征，该状态下运动学和动力学参数的获取将为步态分析及仿生机器人的研制提供帮助。
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