next up previous contents
Next: The DTW algorithm Up: Product functions Previous: Product functions   Contents

Use cases

  1. Load records from a text file.
  2. Pick part(s) of a record to be used as templates or as an observation.
  3. Name the templates and the observation.
  4. Save the templates to a text file.
  5. Save the observation to a text file.
  6. Load an observation from a text file.
  7. Load templates from a text file.
  8. Choose the parameters of the DTW algorithm. These include
    1. Global constraints
    2. Local constraints
    3. How the distance between two points is determined
  9. Compare the observation against all templates using the DTW algorithm and announce, which template matches best and the distance between the observation and the template found.
  10. Compare the observation against a chosen template and show the distance between them.
  11. Show the warping grid and the warping path of the last run. Show also the lengths of the axes (i.e. the length of the template and the observation).
  12. Draw plots of the (best-fit) template and the observation of the last DTW run.
  13. Save the parameters and the results of the run to a log file.


next up previous contents
Next: The DTW algorithm Up: Product functions Previous: Product functions   Contents
2002-03-19