# Hand Hygiene Video Classification Based on Deep Learning

arXiv: https://arxiv.org/abs/2108.08127 · HTML: https://mlsanity.com/paper/2108.08127/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 24 references that are in the map.
- First posted on arXiv 18 Aug 2021.

## Builds on (most cited first, 3 of 3)

- [Automated Quality Assessment of Hand Washing Using Deep Learning](https://mlsanity.com/paper/2011.11383/) (2020)
- [Feature Detection for Hand Hygiene Stages](https://mlsanity.com/paper/2108.03015/) (2021)
- [Real-Time and Robust Method for Hand Gesture Recognition System Based on Cross-Correlation Coefficient](https://mlsanity.com/paper/1408.1759/) (2014)

## Abstract (arXiv)

In this work, an extensive review of literature in the field of gesture recognition carried out along with the implementation of a simple classification system for hand hygiene stages based on deep learning solutions. A subset of robust dataset that consist of handwashing gestures with two hands as well as one-hand gestures such as linear hand movement utilized. A pretrained neural network model, RES Net 50, with image net weights used for the classification of 3 categories: Linear hand movement, rub hands palm to palm and rub hands with fingers interlaced movement. Correct predictions made for the first two classes with > 60% accuracy. A complete dataset along with increased number of classes and training steps will be explored as a future work.