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

Fig 1

Data processing flow.

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).

Fig 1

doi: https://doi.org/10.1371/journal.pone.0223549.g001