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Dynamic Time Warping for Quaternion Time Series

Source: R/DTW.R
DTW.Rd

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
)

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.

Value

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

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]])
#> DTW alignment object
#>  Alignment size (query x reference): 101 x 101
#>  Call: dtw::dtw(x = M, step.pattern = step_pattern, distance.only = distance_only)