학술논문
A Gesture Controlled System to Train and Guide the Healthcare Workers While Donning and Doffing Personal Protective Equipment
Document Type
Conference
Author
Source
2022 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES) Biomedical Engineering and Sciences (IECBES)2022 IEEE-EMBS Conference on. :318-323 Dec, 2022
Subject
Language
Abstract
During the COVID-19 outbreak, many healthcare workers (HCWs) have been infected because they failed to comply with the correct process of donning and doffing personal protective equipment (PPE). Based on this, we develop a gesture-controlled system that not only can train HCWs but also can give HCWs real-time guidance during the process of donning and doffing PPE. It can effectively prevent the infection of HCWs. We first use the hand detection algorithm to locate the position of the HCWs, helping them to enter the proper area. Then they can use our gesture recognition algorithm to control the playback of the videos which guides them in donning and doffing PPE. We verify the effectiveness of the system through a series of experiments. The results show the great value of our system in the protection of HCWs.