Login / Signup

Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning-based 2D pose estimator.

Kenichiro SatoYu NagashimaTatsuo ManoAtsushi IwataTatsushi Toda
Published in: PloS one (2019)
The proposed method allows us to analyze gait movies that have been underutilized to date in a completely data-driven manner, and might broaden the range of movies for which gait analyses can be conducted.
Keyphrases
  • deep learning
  • cerebral palsy
  • healthcare
  • machine learning
  • convolutional neural network