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Detection of Dangerous Situations Using a Smart Internet of Things System

  • Nuno Vasco LopesEmail author
  • Henrique Santos
  • Ana Isabel Azevedo
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 354)

Abstract

The Internet of Things (IoT) is a concept that can foster the emergence of innovative applications. In order to minimize parents’s concerns about their children’s safety, this paper presents the design of a smart Internet of Things system for identifying dangerous situations. The system will be based on real time collection and analysis of physiological signals monitored by non-invasive and non-intrusive sensors, Frequency IDentification (RFID) tags and a Global Positioning System (GPS) to determine when a child is in danger. The assumption of a state of danger is made taking into account the validation of a certain number of biometric reactions to some specific situations and according to a self-learning algorithm developed for this architecture. The results of the analysis of data collected and the location of the child will be able in real time to child’s care holders in a web application.

Keywords

Internet of Things IoT dangerous situations sensor network child self-learning algorithm 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Nuno Vasco Lopes
    • 1
    Email author
  • Henrique Santos
    • 1
  • Ana Isabel Azevedo
    • 1
  1. 1.Department of Information Systems, School of EngineeringUniversity of MinhoBragaPortugal

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