结论关节位图和指数函数作为参数化描述方法可以用来区分不同的人体步态运动模式。
Conclusion Phase plots and exponentials function, as the parameterized description methods, can be used to distinguish the different human gait patterns.
运用关节位图和指数函数对步态特征进行了参数化描述。
Phase plots and exponentials function were used for the parameterized description of human gait characters.
此外，对于机器人交叉行走步态，还提出了一种基于能量最优的优化算法，应用于该机器人，从而得到了相应优化参数。
Moreover, an optimization method based on minimal energy consumption is suggested and applied on the robot to attain optimized parameters.
采用稳定的参数化步态，在步态不变的情况下，改变机器人各连杆的质量、转动惯量和质心位置，分析其对ZMP稳定裕度的影响。
With a stable and fixed parameterized gait, ZMP stability margin is analyzed while changing the robot links' mass, moment of inertia and CM (center of mass) position.
方法以2 8例健康青年男女为研究对象，采用基于数字视频和数字图像处理的运动分析系统测得人体步态的运动学参数。
Methods28 healthy young persons as experimental subjects were studied. The gait analysis system based on digital video and digital image processing was employed to obtain kinematic parameters.
目的获取青年男性常速行走起动步态的运动学和动力学参数。
Objective To obtain kinematic and kinetic parameters of gait initiation from young men when they are walking with constant speed.
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.
方法：以足印图为主，参考步态观察、 测量参数、姿势控制以及患儿和家长的主诉。
Method: To use the podogram of the patients mainly and to observe the gait feature, the ability of posture control and chief complaint.
方法：以足印图为主，参考步态观察、 测量参数、姿势控制以及患儿和家长的主诉。
Method: To use the podogram of the patients mainly and to observe the gait feature, the ability of posture control and chief complaint.
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