First Responders and Autism

Beardon, Luke; Chown, Nick; Cossburn, Kleio

doi:10.1007/978-3-319-91280-6_102159

Cited by 1 publication

(1 citation statement)

References 12 publications

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“…− For visual impairment [33,[97][98][99][100], they include gesture-to-voice technology, alarm signallers with light/sound/vibration, talking/touching watches, braille displays, GPS locators, ultrasound, and infrared based devices; − For hearing impairment [33], they involve text-reader devices, structured sign language, drawing or writing, augmentative communication devices, talking/touching watches; − For speech impairment [33,[101][102][103][104], the examples include voice-input voice-output aids, telepresence robotics, mobile communication jackets, eye-gaze tracking systems, and Morse glasses; − For cognitive impairment [33,105,106], there are GPS locators and telepresence robotics; − For physical impairment [30,33,107], there are technologies such as intelligent wheelchairs, exoskeletons, etc.…”

Section: Requirements Of the Ngfr Technologiesmentioning

confidence: 99%

Next Generation Computing and Communication Hub for First Responders in Smart Cities

Shaposhnyk,

Lai,

Wolbring

et al. 2024

Sensors

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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.

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