Predicting Missing Marker Trajectories in Human Motion Data Using Marker Intercorrelations
نویسندگان
چکیده
منابع مشابه
Predicting Missing Marker Trajectories in Human Motion Data Using Marker Intercorrelations.
Missing information in motion capture data caused by occlusion or detachment of markers is a common problem that is difficult to avoid entirely. The aim of this study was to develop and test an algorithm for reconstruction of corrupted marker trajectories in datasets representing human gait. The reconstruction was facilitated using information of marker inter-correlations obtained from a princi...
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ژورنال
عنوان ژورنال: PLOS ONE
سال: 2016
ISSN: 1932-6203
DOI: 10.1371/journal.pone.0152616