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arXiv · 2310.09170

mnmDTW: An extension to Dynamic Time Warping for Camera-based Movement Error Localization

Sebastian Dill·Maurice Rohr
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Abstract

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.

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Sebastian Dill, Maurice Rohr. 2023-10-13. mnmDTW: An extension to Dynamic Time Warping for Camera-based Movement Error Localization. https://arxiv.org/abs/2310.09170

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