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Smart Devices for Automated Emergency Calls

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Interoperability, Safety and Security in IoT (InterIoT 2017, SaSeIoT 2017)

Abstract

The Internet-of-Things (IoT) promises to transform our society into smart environments, incorporating smart objects that cooperate to fulfil specific goals. Amongst its many applications, emergencies can also benefit from IoT principles and use of automation for a better emergency response and reducing the number of fatalities. Smart devices can be used to detect emergency events (e.g., fire, presence of hazardous gases) and automatically trigger alerts to emergency services. However, emergency services today mostly rely on circuit-switch networks and audio-based calls. Therefore, in this paper, we describe our concept to apply the IoT paradigm to the concept of automated calls, in which audio calls are generated from preformatted messages and a text-to-speech engine. Supported by an implemented prototype, our approach brings the benefits of automated calls without requiring significant investments to the infrastructure and systems of emergency services.

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Notes

  1. 1.

    https://ec.europa.eu/digital-single-market/en/ecall-time-saved-lives-saved.

  2. 2.

    Other approaches could instead opt for calling the owner phone or a service operator.

  3. 3.

    The resource constraints can be related to low processing power, low memory and low power, as well as network constraints.

  4. 4.

    https://home-assistant.io.

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Acknowledgment

This paper has been prepared as part of the NEXES Research and Innovation Action, which has received funding from the EU’s Horizon 2020 research and innovation programme under Grant Agreement No. 653337.

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Correspondence to Marco Manso .

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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Buf, M., Guerra, B., Manso, M. (2018). Smart Devices for Automated Emergency Calls. In: Fortino, G., et al. Interoperability, Safety and Security in IoT. InterIoT SaSeIoT 2017 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 242. Springer, Cham. https://doi.org/10.1007/978-3-319-93797-7_4

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  • DOI: https://doi.org/10.1007/978-3-319-93797-7_4

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-93796-0

  • Online ISBN: 978-3-319-93797-7

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