pyCGM_Single.Pipelines.transform_from_mov

pyCGM_Single.Pipelines.transform_from_mov(data, key, clust, last_time, i)

Use motion data for gap filling.

Uses previous positions of markers to estimate locations of missing markers.

Parameters

dataarray

Array of dictionaries of marker data.

keystr

String representing the missing marker.

clustarray

Array of other markers in the same cluster as the missing marker.

last_timeint

Frame number of the last frame that the marker is not missing.

iint

Frame number that the marker data is missing for.

Returns

array

Location of the missing marker in the world frame. List of 3 elements.

Examples

>>> from .pyCGM_Helpers import getfilenames
>>> from numpy import array, nan, around
>>> from .pycgmIO import loadData, dataAsDict
>>> dynamic_trial,static_trial,_,_,_ = getfilenames(x=3)
>>> motionData = loadData(dynamic_trial)
SampleData/Sample_2/RoboWalk.c3d
>>> around(motionData[2]['LFHD'], 2) 
array([-1003.42, 81.05, 1522.14])
>>> motionData[2]['LFHD'] = array([nan, nan, nan]) #clear one frame to test gap filling
>>> data = dataAsDict(motionData,npArray=True)
>>> key = 'LFHD'
>>> clust = ['RFHD', 'RBHD', 'LBHD'] #Other markers in the cluster
>>> last_time = 1
>>> i = 2
>>> around(transform_from_mov(data,key,clust,last_time,i), 2) 
array([-1003.42,    81.05,  1522.13])