Biometric Technologies Laboratory, Schulich School of Engineering, University of Calgary, Calgary, AB T2N 1N4, Canada.
Cummings School of Medicine, University of Calgary, Calgary, AB T2N 4N1, Canada.
Sensors (Basel). 2024 Apr 8;24(7):2366. doi: 10.3390/s24072366.
This paper contributes to the development of a Next Generation First Responder (NGFR) communication platform with the key goal of embedding it into a smart city technology infrastructure. The framework of this approach is a concept known as SmartHub, developed by the US Department of Homeland Security. The proposed embedding methodology complies with the standard categories and indicators of smart city performance. This paper offers two practice-centered extensions of the NGFR hub, which are also the main results: first, a cognitive workload monitoring of first responders as a basis for their performance assessment, monitoring, and improvement; and second, a highly sensitive problem of human society, the emergency assistance tools for individuals with disabilities. Both extensions explore various technological-societal dimensions of smart cities, including interoperability, standardization, and accessibility to assistive technologies for people with disabilities. Regarding cognitive workload monitoring, the core result is a novel AI formalism, an ensemble of machine learning processes aggregated using machine reasoning. This ensemble enables predictive situation assessment and self-aware computing, which is the basis of the digital twin concept. We experimentally demonstrate a specific component of a digital twin of an NGFR, a near-real-time monitoring of the NGFR cognitive workload. Regarding our second result, a problem of emergency assistance for individuals with disabilities that originated as accessibility to assistive technologies to promote disability inclusion, we provide the NGFR specification focusing on interactions based on AI formalism and using a unified hub platform. This paper also discusses a technology roadmap using the notion of the Emergency Management Cycle (EMC), a commonly accepted doctrine for managing disasters through the steps of mitigation, preparedness, response, and recovery. It positions the NGFR hub as a benchmark of the smart city emergency service.
本文致力于开发下一代第一响应者(NGFR)通信平台,并将其嵌入智慧城市技术基础设施作为主要目标。该方法的框架是美国国土安全部开发的 SmartHub 概念。所提出的嵌入方法符合智慧城市性能的标准类别和指标。本文为 NGFR 中心提供了两个以实践为中心的扩展,这也是主要成果:首先,作为其绩效评估、监测和改进基础的第一响应者认知工作负荷监测;其次,紧急援助残疾人的高度敏感的人类社会问题。这两个扩展都探讨了智慧城市的各种技术社会层面,包括互操作性、标准化以及辅助技术的可及性。关于认知工作负荷监测,核心成果是一种新颖的 AI 形式主义,即使用机器推理聚合的机器学习过程的集合。该集合实现了预测性情境评估和自我意识计算,这是数字孪生概念的基础。我们通过实验演示了 NGFR 数字孪生的特定组件,即对 NGFR 认知工作负荷的近乎实时监测。关于我们的第二个成果,即起源于辅助技术可及性以促进残疾包容的残疾人紧急援助问题,我们提供了专注于基于 AI 形式主义的交互并使用统一中心平台的 NGFR 规范。本文还讨论了使用应急管理周期(EMC)概念的技术路线图,这是通过缓解、准备、响应和恢复步骤管理灾害的普遍接受的原则。它将 NGFR 中心定位为智慧城市应急服务的基准。