mnmDTW: An extension to Dynamic Time Warping for Camera-based Movement Error Localization
Computer Vision and Pattern Recognition
2023-10-16 v1 Artificial Intelligence
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.
Keywords
Cite
@article{arxiv.2310.09170,
title = {mnmDTW: An extension to Dynamic Time Warping for Camera-based Movement Error Localization},
author = {Sebastian Dill and Maurice Rohr},
journal= {arXiv preprint arXiv:2310.09170},
year = {2023}
}
Comments
Poster Prague 2023 Conference, 4 pages