ICERS: Intelligent Collaborative Emergency Response System

Guoyin Yang*, Haotian Zhang, Junfeng Yao, Chengyou Cai, Jun Song*, Yuelin Xu, Bin Deng

*Corresponding author for this work

Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

Abstract

Advances in computer science and technology, coupled with the growing societal demand for enhanced safety, have paved the way for innovative smart home environments. While current smart home systems can send alarms and notify emergency contacts during a crisis, they do not provide timely and convenient on-site emergency assistance, potentially delaying critical aid and compromising user safety. This paper introduces the Intelligent Collaborative Emergency System (ICERS), which addresses this gap through three integrated subsystems: Fall Detection, Vital Signs Monitoring, and Central Dispatch. The Fall Detection module leverages camera video data to classify human positions and estimate potential falls. The Vital Signs Monitoring module employs millimeter-wave radar technology to provide non-contact, real-time health monitoring. The Central Dispatch system receives alert signals from on-edge devices and relays them to medical facilities and volunteer organizations for a coordinated emergency response. By utilizing multimodal data for collaborative efforts, the ICERS ensures that individuals receive timely notifications and coordinated emergency assistance during unforeseen situations.

Original languageEnglish
Title of host publicationProceedings of the 23rd International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2024
EditorsHamido Fujita, Hamido Fujita, Hector Perez-Meana, Andres Hernandez-Matamoros
PublisherIOS Press BV
Pages293-302
Number of pages10
ISBN (Electronic)9781643685397
ISBN (Print)9781643685380
DOIs
Publication statusPublished - 18 Sept 2024
Event23rd International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2024 - Cancun, Mexico
Duration: 24 Sept 202426 Sept 2024
https://ebooks.iospress.nl/volume/new-trends-in-intelligent-software-methodologies-tools-and-techniques-proceedings-of-the-23rd-international-conference-on-new-trends-in-intelligent-software-met (Conference proceedings)

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume389
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference23rd International Conference on New Trends in Intelligent Software Methodologies, Tools and Techniques, SoMeT 2024
Country/TerritoryMexico
CityCancun
Period24/09/2426/09/24
Internet address

Scopus Subject Areas

  • Artificial Intelligence

User-Defined Keywords

  • Collaborative Efforts
  • Fall Detection
  • Multimodal Data
  • Smart Home
  • Vital Signs Monitoring

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