新冠肺炎时代韩国全面安全护理健身解决方案新框架提案

Decis. Sci. Pub Date : 2022-11-11 DOI:10.3390/sci4040045
D. O’Sullivan, Suk-Jae Kim, Jeheon Moon, Sungmin Kim
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引用次数: 0

摘要

体育活动不仅是保持身体健康状态的关键因素,而且大量研究表明它与良好的心理健康有关。在新规范和应对COVID-19中,支持使用健身房以保障从业人员的安全至关重要。因此,在本研究中,我们展示了支持基于集成计算机视觉和可穿戴传感器数据的多模式COVID-19跟踪系统的全面安全护理健身解决方案框架开发的研究。我们提出了一个包含三个需要整合的框架:COVID-19疫苗和健康状态识别系统(进入健身房前扫描二维码,智能手环监测生理信号,并在进入健身房前填写健康问卷);事故检测系统(基于视频和智能腕带);以及健身房用户数字跟踪系统(基于闭路电视和智能腕带)。我们展示了这些系统集成的建议架构,并提供了如何在可行性测试的试验台中实现它的实用技巧。据我们所知,这是第一个在健身房使用的COVID-19跟踪系统,其中包括一个预测模型,通过健康监测来检测事故,从而更安全地参与锻炼。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Proposal of a Novel Framework in Korea for a Total Safe-Care Fitness Solution in the COVID-19 Era
Physical activity is a crucial factor for maintaining not only physical health status, but vast amounts of research have shown its link with better mental health. Supporting the use of gyms for the safety of its practitioners is vital in the new norm and living with COVID-19. Therefore, in this study we show research supporting the development of a framework for a Total Safe-Care Fitness Solution based on a multimodal COVID-19 tracking system integrating computer vision and data from wearable sensors. We propose a framework with three areas that need to be integrated: a COVID-19 vaccine and health status recognition system (QR code scan prior to entry to the gym, and physiological signals monitored by a smart-band and a health questionnaire filled in prior to entry to the gym); an accident detection system (video and smart-band based); and a gym-user digital tracking system (CCTV and smart-band based). We show the proposed architecture for the integration of these systems and provide practical tips on how to implement it in testbeds for feasibility testing. To the best of our knowledge, this is the first proposed COVID-19 tracking system of use in gyms that includes a predictive model for accident detection for safer exercise participation through health monitoring.
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