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Trajectory analysis with geometric features

机译:具有几何特征的轨迹分析

摘要

Described herein are various technologies pertaining to extracting one or more features from trajectory data recorded during motion of a body, and further, generating a n-dimensional feature vector based upon the one or more extracted features. The n-dimensional feature vector enables expedited analysis of the trajectory data from which the feature vector was generated. For example, rather than having to analyze a trajectory curve comprising a large number of time-position data points, the n-dimensional feature vector can be compared with one or more search parameters to facilitate clustering of the trajectory data associated with the n-dimensional feature vector with other trajectory data which also satisfies the search request. The trajectory data can be plotted on a screen in combination with the n-dimensional feature vector, and other pertinent information. The trajectory data, etc., can be displayed using heat maps or other graphical representation.
机译:在此描述的各种技术涉及从在身体运动期间记录的轨迹数据中提取一个或多个特征,并且进一步基于一个或多个提取的特征来生成n维特征向量。利用n维特征向量,可以快速分析生成特征向量的轨迹数据。例如,不必将包含大量时间位置数据点的轨迹曲线进行分析,而是可以将n维特征向量与一个或多个搜索参数进行比较,以促进与n维相关联的轨迹数据的聚类。具有其他轨迹数据的特征向量也可以满足搜索请求。可以结合n维特征向量和其他相关信息在屏幕上绘制轨迹数据。可以使用热图或其他图形表示来显示轨迹数据等。

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