Video Analysis on Handwashing Movement for the Completeness Evaluation

Abstract

The pandemic situation of COVID-19 is still ongoing in every part of the world countries. Up to now, the medicine and the vaccination for curing the COVID-19 are not yet available. Since the vaccine and medication of COVID-19 are not yet available, the government in many countries are strongly socialising three kinds of new practices. The new habits are physical distancing, wearing a mask, and handwashing frequently. This paper focuses on assessing the completeness of handwashing. The handwashing frames are extracted from a video clip. The frames are then categorised into six-movement steps by using a deep learning-based algorithm. The frame of hand object is separated from the video by applying skin colour differentiation. Two kinds of experiments based on two different video sources are performed in the paper. Scoring simulation is also conducted in the research. The results show that the proposed method can give an excellent performance with accuracy values not less than 90%.