Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning-based 2D pose estimator.
Kenichiro SatoYu NagashimaTatsuo ManoAtsushi IwataTatsushi TodaPublished 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.