Many people with chronic obstructive pulmonary diseases (COPD) are subjected to emergencies triggered by breathing difficulties. Oxygen therapy, administered from medical oxygen cylinders, can be used to relieve respiratory airways, and restore the supply of oxygen to the body’s vital organs. In this paper, we present a location-based ubiquitous crowdsourcing solution to enable COPD patients to request an emergency supply of oxygen cylinders. At the heart of the solution is a trusted platform that acts as a mediator for the ambient social interaction among a virtual and socially engaged community of requestors and suppliers. The geo-temporal data generated by this social interaction can be analyzed to uncover meaningful ambient environmental patterns. Our approach also uses image processing and computer vision techniques to help validate crowd responses. We discuss the details of the human-centric computer interaction design and its key features. We also elaborate on the challenges faced in the design and development of the solution and summarize the actions taken to address them.

许多患有慢性阻塞性肺疾病（COPD）的人会因呼吸困难引发紧急情况。由医用氧气瓶进行的氧气疗法可用于缓解呼吸道呼吸，并恢复人体重要器官的氧气供应。在本文中，我们提出了一种基于位置的无处不在的众包解决方案，以使COPD患者能够请求紧急供应氧气瓶。该解决方案的核心是一个受信任的平台，该平台可充当请求者和供应商之间虚拟的，社会参与的社区之间的环境社会互动的中介者。可以分析这种社会互动产生的地理时间数据，以发现有意义的周围环境模式。我们的方法还使用图像处理和计算机视觉技术来帮助验证人群的反应。我们讨论了以人为中心的计算机交互设计的细节及其关键功能。我们还详细介绍了解决方案的设计和开发中面临的挑战，并总结了为解决这些挑战而采取的行动。