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   	<dc:title>Depth camera based statistical shape fitting approach for the creation of an individualized lower body biomechanical model: validity and reliability</dc:title>
   	<dc:creator>Taetz, Bertram</dc:creator>
   	<dc:creator>Teufl, Wolfgang</dc:creator>
   	<dc:creator>Weidmann, Alexander</dc:creator>
   	<dc:creator>Pietschmann, Juliane</dc:creator>
   	<dc:creator>Jöllenbeck, Thomas</dc:creator>
   	<dc:creator>Bleser, Gabriele</dc:creator>
   	<dc:subject>Computer Science Applications</dc:subject>
   	<dc:subject>Human-Computer Interaction</dc:subject>
   	<dc:subject>Biomedical Engineering</dc:subject>
   	<dc:subject>General Medicine</dc:subject>
   	<dc:subject>Bioengineering</dc:subject>
   	<dc:publisher>Informa UK Limited</dc:publisher>
   	<dc:date>2019</dc:date>
   	<dc:type>info:eu-repo/semantics/article</dc:type>
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   	<dc:identifier>https://ris.uni-paderborn.de/record/40604</dc:identifier>
   	<dc:source>Taetz B, Teufl W, Weidmann A, Pietschmann J, Jöllenbeck T, Bleser G. Depth camera based statistical shape fitting approach for the creation of an individualized lower body biomechanical model: validity and reliability. &lt;i&gt;Computer Methods in Biomechanics and Biomedical Engineering&lt;/i&gt;. 2019;23(1):12-22. doi:&lt;a href=&quot;https://doi.org/10.1080/10255842.2019.1688310&quot;&gt;10.1080/10255842.2019.1688310&lt;/a&gt;</dc:source>
   	<dc:language>eng</dc:language>
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