Version 0.13.0a15

Changes

• Update the relationship between t_ratio and l_ratio to be a simpler version (linear regression)

Version 0.13.0a14

• Added stricter peak finding parameters for IC/FC detection, and added them as arguments to the prediction processes.

Version 0.13.0a13

• Updated method for estimating the AP axis from acceleration data

Version 0.13.0a12

• Fix issue with too strict a requirement for number of available window AC function peaks when estimating step frequency

Version 0.13.0a11

• Require a height for the first peak when estimating step frequency from the autocovariance functions

Version 0.13.0a10

• Update the step frequency estimation algorithm to use the median of windows across the gait bout

Version 0.13.0a9

• Updated method for estimating step frequency to hopefully better catch few outliers from previous method

Version 0.13.0a8

• Fixed an issue where when predicting gait, upsampled indices would be too large by 1

Version 0.13.0a7

• Fixed a filtering cutoff frequency issue

Version 0.13.0a6

• Fix windows build for PyPI
• Fix an issue where FC and IC events could be the same index
• Constrain the estimated step frequency [NOTE, estimation should be examined for predicted gait bouts]