Department of Mechanics, Mathematics, and Management, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.
Department of Electrical Engineering and Information Technology, Polytechnic University of Bari, via Oraboba 4, 70125 Bari, Italy.
Sensors (Basel). 2020 Oct 29;20(21):6149. doi: 10.3390/s20216149.
Since its beginning at the end of 2019, the pandemic spread of the severe acute respiratory syndrome coronavirus 2 (Sars-CoV-2) caused more than one million deaths in only nine months. The threat of emerging and re-emerging infectious diseases exists as an imminent threat to human health. It is essential to implement adequate hygiene best practices to break the contagion chain and enhance society preparedness for such critical scenarios and understand the relevance of each disease transmission route. As the unconscious hand-face contact gesture constitutes a potential pathway of contagion, in this paper, the authors present a prototype system based on low-cost depth sensors able to monitor in real-time the attitude towards such a habit. The system records people's behavior to enhance their awareness by providing real-time warnings, providing for statistical reports for designing proper hygiene solutions, and better understanding the role of such route of contagion. A preliminary validation study measured an overall accuracy of 91%. A Cohen's Kappa equal to 0.876 supports rejecting the hypothesis that such accuracy is accidental. Low-cost body tracking technologies can effectively support monitoring compliance with hygiene best practices and training people in real-time. By collecting data and analyzing them with respect to people categories and contagion statistics, it could be possible to understand the importance of this contagion pathway and identify for which people category such a behavioral attitude constitutes a significant risk.
自 2019 年底爆发以来，严重急性呼吸综合征冠状病毒 2（Sars-CoV-2）的大流行在短短九个月内导致了超过 100 万人死亡。新发和再发传染病的威胁是对人类健康的迫在眉睫的威胁。实施适当的卫生最佳实践以打破传播链，并增强社会对这种关键情况的准备，了解每种疾病传播途径的相关性至关重要。由于无意识的手脸接触手势构成了一种潜在的传染途径，因此在本文中，作者提出了一个基于低成本深度传感器的原型系统，该系统能够实时监测这种习惯的态度。该系统记录人们的行为，通过提供实时警告来提高他们的意识，提供用于设计适当卫生解决方案的统计报告，并更好地了解这种传染途径的作用。一项初步验证研究的总体准确率为 91%。科恩氏kappa 值等于 0.876 支持拒绝这种准确性是偶然的假设。低成本的人体跟踪技术可以有效地支持实时监测卫生最佳实践的遵守情况和对人员的培训。通过收集数据并根据人员类别和传染病统计进行分析，可以了解这种传染途径的重要性，并确定对于哪些人员类别，这种行为态度构成了重大风险。
