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

arXiv: https://arxiv.org/abs/2310.09170 · HTML: https://mlsanity.com/paper/2310.09170/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 8 references that are in the map.
- First posted on arXiv 13 Oct 2023.

## Builds on (most cited first, 1 of 1)

- [BlazePose: On-device Real-time Body Pose tracking](https://mlsanity.com/paper/2006.10204/) (2020)

## Abstract (arXiv)

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.