• 人体动画功能复杂步行周期记录的动画视频教程。

    Humanoid animation I features the most complex walk cycle ever recorded for an animation tutorial video.

    youdao

  • 了解如何调整完善变形体动画任意多边形步行周期,两动物的人群使用工具

    Learn how to adjust physique for perfect deformation, animate a freeform walk cycle, and use crowd tools for bipeds.

    youdao

  • 理论仿真结果两方面影响机器人稳定步行因素进行了较全面的分析和验证,步行周期起步等。

    The influencing factors on walking stability are analyzed according to theory and simulation results, such as stride length, walking cycle period and initial stance.

    youdao

  • 这个视频教程中动画大师大卫·温斯坦告诉如何打破常规,开始步行周期-移动清理-最后分辨率细节

    In this video veteran animator David Weinstein will show you how he breaks down and begins his walk cycles - moving onto cleanup - and finally the high resolution details.

    youdao

  • 结论:在自然行走过程中,偏瘫患者双下肢支撑摆动期的明显缩短导致患者步行周期延长,步态异常减慢,步行能力下降根本原因。

    Conclusion: The study indicates that the shorter single support time during the gait cycle in patients is responsible for the abnormal walking velocity , awful gait and decreased ability of walking.

    youdao

  • 个例子,如果跑步/步行16分钟,你可以以1:7的比例跑步/步行两个周期

    For example, if you want to run/walk for 16 minutes, you canrun/walk at a 1:7 ratio for two cycles.

    youdao

  • 个例子,如果跑步/步行16分钟,你可以以1:7比例跑步/步行两个周期

    For example, if you want to run/walk for 16 minutes, you can run/walk at a 1:7 ratio for two cycles.

    youdao

  • 步行期间,多次重复:的思绪关注五个集中点上面、集中于一点轮换到下一点,再在思绪真空期结束这个周期

    You can repeat the cycle several times during your walk, taking your mind through the five point of focus again, and finishing the cycle with open awareness.

    youdao

  • 结果 计算获得研究对象不同步行速度路面坡度下踝关节膝关节髋关节一个步态周期内的状面关节变化曲线以及主要肌肉激活度变化曲线。

    The mean joint angles of hip, knee and ankle in sagittal plane at different speeds and different slopes were calculated. The subject whose data was closest to the mean value could be easily found.

    youdao

  • 结果 计算获得研究对象不同步行速度路面坡度下踝关节膝关节髋关节一个步态周期内的状面关节变化曲线以及主要肌肉激活度变化曲线。

    The mean joint angles of hip, knee and ankle in sagittal plane at different speeds and different slopes were calculated. The subject whose data was closest to the mean value could be easily found.

    youdao

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