Trajectory analysis with geometric features
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.
- Inventors:
- Issue Date:
- Research Org.:
- Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1568574
- Patent Number(s):
- 10345106
- Application Number:
- 14/927,083
- Assignee:
- National Technology & Engineering Solutions of Sandia, LLC (Albuquerque, NM)
- Patent Classifications (CPCs):
-
G - PHYSICS G01 - MEASURING G01C - MEASURING DISTANCES, LEVELS OR BEARINGS
G - PHYSICS G07 - CHECKING-DEVICES G07C - TIME OR ATTENDANCE REGISTERS
- DOE Contract Number:
- AC04-94AL85000
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 10/29/2015
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Wilson, Andrew T., and Rintoul, Mark Daniel. Trajectory analysis with geometric features. United States: N. p., 2019.
Web.
Wilson, Andrew T., & Rintoul, Mark Daniel. Trajectory analysis with geometric features. United States.
Wilson, Andrew T., and Rintoul, Mark Daniel. Tue .
"Trajectory analysis with geometric features". United States. https://www.osti.gov/servlets/purl/1568574.
@article{osti_1568574,
title = {Trajectory analysis with geometric features},
author = {Wilson, Andrew T. and Rintoul, Mark Daniel},
abstractNote = {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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Tue Jul 09 00:00:00 EDT 2019},
month = {Tue Jul 09 00:00:00 EDT 2019}
}