考虑到人体步态的周期性，步态实验的数据可以表示成富里哀级数的形式。
With a view to the periodicity of human gait, experimental data maybe expressed in the form of the Fourier series.
针对此问题，并基于步态能量图（GEI）在步态特征表示上的效果，提出了一种迭代切距离原型学习算法。
To solve this problem, and also based on the fact that gait energy image(GEI) is effective for feature representation, an.
伦敦步态与姿态研究中央专家西蒙·科斯坦表示，每天穿高跟鞋并无大碍。
London gait and attitude research central expert Simon · family Stan said, every day wear high-heeled shoes and without serious injury.
伦敦步态与姿态研究中央专家西蒙·科斯坦表示，每天穿高跟鞋并无大碍。
London gait and attitude research central expert Simon · family Stan said, every day wear high-heeled shoes and without serious injury.
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