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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 rec...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4816448/ https://www.ncbi.nlm.nih.gov/pubmed/27031243 http://dx.doi.org/10.1371/journal.pone.0152616 |