An IoT Dashboard Monitoring First Responders' Health and Environmental Data during HAZMAT Emergencies

Ann L Fruhling, Aaron Yoder, Soundarya Jonnalagadda

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The goal of the REaCH (Real Time Emergency Communication System for HAZMAT Incidents) project was to develop a real-time interactive dashboard that captures and displays first responders' health data and environmental exposure information to an incident commander during a HAZMAT (Hazardous Materials) incident. The REaCH application monitors individual health parameters and helps Incident Commanders evaluate if an individual needs to be removed from the scene due to their health status being compromised. The REaCH application utilizes the latest IoT technology integrating multiple IoT sensors that capture human and environmental data, using a real-time communication network. Our demo presents the key features and design practices of our IoT dashboard. Practitioners and researchers will find these insights useful when developing similar IoT dashboard applications for emergency management.

Original languageEnglish (US)
Title of host publicationProceedings - 8th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2023
PublisherAssociation for Computing Machinery
Pages483-485
Number of pages3
ISBN (Electronic)9798400700378
DOIs
StatePublished - May 9 2023
Event8th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2023 - San Antonio, United States
Duration: May 9 2023May 12 2023

Publication series

NameACM International Conference Proceeding Series

Conference

Conference8th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2023
Country/TerritoryUnited States
CitySan Antonio
Period5/9/235/12/23

Keywords

  • dashboard
  • first responders
  • HAZMAT
  • HCI
  • interactive design
  • IoT
  • monitoring
  • real-time
  • sensors

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Networks and Communications
  • Computer Vision and Pattern Recognition
  • Software

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