CP Gait Lab: Deep-Learning-Based 2-D Video Analysis of Gait
CP Gait Lab is a set of resources we have made available to utilize a deep neural network to analyze gait from a single-camera video, such as that recorded on a smartphone. These resources are based on our Nature Communications study by Kidzinski, et al.. While trained on data from individuals with cerebral palsy (CP), the algorithms can be adapted for other applications.
Łukasz Kidziński*, Bryan Yang*, Jennifer Hicks, Apoorva Rajagopal, Scott Delp, Michael Schwartz, “Deep neural networks enable quantitative movement analysis using single-camera videos”, Nature Communications (2020)
* These authors contributed equally to this work
Learn more about CP Gait Lab
- Watch webinar on the development and validation of CP Gait Lab
- Run tutorial: Access tutorial Colab notebook | Watch tutorial video
- Browse Q&A
- Instructions for best results
