Deep neural networks enable quantitative movement analysis using single-camera videos
oleh: Łukasz Kidziński, Bryan Yang, Jennifer L. Hicks, Apoorva Rajagopal, Scott L. Delp, Michael H. Schwartz
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2020-08-01 |
Deskripsi
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 from an ordinary video of a patient.