| Abstract: | 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. |