mnmDTW: An extension to Dynamic Time Warping for Camera-based Movement
  Error Localization
Sebastian Dill Maurice Rohr
In this proof of concept, we use Computer Vision (CV) methods to extract pose
information out of exercise videos. We then employ a modified version of
Dynamic Time Warping (DTW) to calculate the deviation from a gold standard
execution of the exercise. Specifically, we calculate the distance between each
body part individually to get a more precise measure for exercise accuracy. We
can show that exercise mistakes are clearly visible, identifiable and
localizable through this metric.