squat (version 0.5.0)

DTW: Dynamic Time Warping for Quaternion Time Series

Description

This function evaluates the Dynamic Time Warping (DTW) distance between two quaternion time series (QTS).

Usage

DTW(
  qts1,
  qts2,
  resample = TRUE,
  disable_normalization = FALSE,
  distance_only = FALSE,
  step_pattern = dtw::symmetric2
)

Value

An object of class dtw::dtw storing the dynamic time warping results.

Arguments

qts1

An object of class qts.

qts2

An object of class qts.

resample

A boolean specifying whether the QTS should be uniformly resampled on their domain before computing distances. Defaults to TRUE.

disable_normalization

A boolean specifying whether quaternion normalization should be disabled. Defaults to FALSE which ensures that we always deal with unit quaternions.

distance_only

A boolean specifying whether to only compute distance (no backtrack, faster). Defaults to FALSE.

step_pattern

A dtw::stepPattern specifying the local constraints on the warping path. Defaults to dtw::symmetric2 which uses symmetric and normalizable warping paths with no local slope constraints. See dtw::stepPattern for more information.

Details

If no evaluation grid is provided, the function assumes that the two input QTS are evaluated on the same grid.

Examples

DTW(vespa64$igp[[1]], vespa64$igp[[2]])