通过对运动特征提取算法进行研究，设计并实现了一个实用的全局运动特征和局部运动特征提取模块。

By study of the existing extraction and representation algorithm of motion information, a practicality module is designed and implemented mainly on global and local motion feature extraction.

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在对现有视频运动分析方法进行分析比较的基础上，提出了一种基于视频中运动对象的运动特征提取方法。

On the basis of analyzing and comparing existing methods, it presents a motion feature extraction method which is based on movement object in video.

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下肢想象动作的脑电特征提取是基于脑-机接口技术实现下肢运动神经重建的关键点和难点。

EEG feature extraction from imaginary lower limb motor tasks is the key and difficult point of motor nerve reconstruction for lower limbs based on brain-computer interface technology.

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