The process of hand washing involves complex hand movements. There are six principal sequential steps for washing hands as per the World Health Organisation (WHO) guidelines. In this work, a detailed description of an aluminium rig construction for creating a robust hand-washing dataset is discussed. The preliminary results with the help of image processing and computer vision algorithms for hand pose extraction and feature detection such as Harris detector, Shi-Tomasi and SIFT are demonstrated. The hand hygiene pose- Rub hands palm to palm was captured as an input image for running all the experiments. The future work will focus upon processing the video recordings of hand movements captured and applying deep-learning solutions for the classification of hand-hygiene stages.
@article{arxiv.2108.03015,
title = {Feature Detection for Hand Hygiene Stages},
author = {Rashmi Bakshi and Jane Courtney and Damon Berry and Graham Gavin},
journal= {arXiv preprint arXiv:2108.03015},
year = {2021}
}