Quantifying normal and parkinsonian gait features from home movies: Practical application of a deep learning–based 2D pose estimator
Fig 1
Our proposed method consists of two distinct steps: upper line (A to E), deriving sequential gait feature data from movies via body joint coordinate extraction using OpenPose; lower line, estimating cadence from the sequential data using the short-time autocorrelation function and the subsequent analysis (F to I).