Deep neural networks enable quantitative movement analysis using single-camera videos
In the context of diseases impairing movement, quantitative assessment of motion is critical to medical decision-making but is currently possible only with expensive motion capture systems and trained personnel. Here, the authors present a method for predicting clinically relevant motion parameters...
Main Authors: | Łukasz Kidziński, Bryan Yang, Jennifer L. Hicks, Apoorva Rajagopal, Scott L. Delp, Michael H. Schwartz |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2020-08-01
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Series: | Nature Communications |
Online Access: | https://doi.org/10.1038/s41467-020-17807-z |
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