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

Dill, Sebastian, Rohr, Maurice

arXiv.org Artificial IntelligenceOct-13-2023

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.

artificial intelligence, machine learning, mnmdtw value, (13 more...)

arXiv.org Artificial Intelligence

2310.0917

Country:

Europe > Germany > Hesse > Darmstadt Region > Darmstadt (0.07)
Europe > Czechia > Prague (0.05)
Oceania > Australia > Queensland > Cairns Region > Cairns (0.04)
(2 more...)

Genre: Research Report (1.00)

Industry: Health & Medicine (1.00)

Technology:

Information Technology > Artificial Intelligence > Vision (0.68)
Information Technology > Artificial Intelligence > Machine Learning > Neural Networks (0.47)

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