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Proper citation for AnyBody #108

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Proper citation for AnyBody #108

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21 changes: 12 additions & 9 deletions docs/paper/paper.bib
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Expand Up @@ -117,15 +117,18 @@ @ARTICLE{Hatze1974-zc
doi = "10.1016/0021-9290(74)90060-8"
}

@INPROCEEDINGS{Rasmussen2003-yv,
title = "Anybody-a software system for ergonomic optimization",
booktitle = "Fifth world congress on structural and multidisciplinary optimization",
author = "Rasmussen, John and Damsgaard, Michael and Surma, Egidijus and Christensen, S{\o}ren T and de Zee, Mark and Vondrak, Vit",
publisher = "Citeseer",
volume = 4,
pages = "6",
institution = "Citeseer",
year = 2003
@ARTICLE{Damsgaard2006-gq,
title = "Analysis of musculoskeletal systems in the {AnyBody} Modeling System",
author = "Damsgaard, Michael and Rasmussen, John and Christensen, S{\o}ren T{\o}rholm and Surma, Egidijus and de Zee, Mark",
journal = "Simulation Modelling Practice and Theory",
publisher = "Elsevier",
volume = 14,
number = 8,
pages = "1100--1111",
month = nov,
year = 2006,
issn = "1569-190X",
doi = "10.1016/j.simpat.2006.09.001"
}

@misc{ezc3d,
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2 changes: 1 addition & 1 deletion docs/paper/paper.md
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Expand Up @@ -31,7 +31,7 @@ The processing, analysis and visualization of these data could therefore be unif
Most biomechanical data characterizing human and animal movement appear as temporal waveforms representing specific measures such as muscle activity or joint angles.
These data are typically multidimensional arrays structured around labels with arbitrary metadata (\autoref{fig:biomech-data}).
Existing software solutions share some limitations.
Some of them are not free of charge [@Rasmussen2003-yv] or based on closed-source programming language [@Dixon2017-co; @Muller2019-cx].
Some of them are not free of charge [@Damsgaard2006-gq] or based on closed-source programming language [@Dixon2017-co; @Muller2019-cx].
Others do not leverage labels and metadata [@Walt2011-em; @Hachaj2019-tk; @Virtanen2020-zv].
`pyomeca` is a python package designed to address these limitations.

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