Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/121742
Title: Indoor Positioning Framework for Training Rescue Operations Procedures at the Site of a Mass Incident or Disaster
Authors: Nikodem, Jan
De Blasio, Gabriele Salvatore 
Gawłowski, Paweł
Klempous, Ryszard
Quesada-Arencibia, Alexis 
UNESCO Clasification: 33 Ciencias tecnológicas
Issue Date: 2022
Journal: Lecture Notes in Computer Science 
Conference: 18th International Conference on Computer Aided Systems Theory (Eurocast 2022) 
Abstract: Modern IT technologies allow the construction of training systems related to exercising in the field of triage and rescue operation management. In proposed training system we use simulators of vital human signs based on mobile devices. These devices generate the victim’s life cycle pattern, consisting of the values (heartbeats and respiratory rates, systolic and diastolic blood pressure, and capillary refill time) used as the basis for TRIAGE categorization. The use of specially programmed smartphones as simulators was a temporary solution that facilitated system startup. Currently, these simulators are implemented on the basis of the ESP32 chip, which enables the connection of many types of environmental sensors. In the paper we will present new version of the victim simulator based on the ESP32 system on chip (SoC), and new functionalities such as heart rate monitoring and casualties positioning. In the proposal presented in this work, a hybrid Wi-Fi/BLE positioning system is used to have a coarse positioning with the first technology, which has a longer range, and a finer positioning with the second, which has a shorter range.
URI: http://hdl.handle.net/10553/121742
ISBN: 9783031253119
ISSN: 0302-9743
DOI: 10.1007/978-3-031-25312-6_61
Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) [ISSN 0302-9743],v. 13789 LNCS, p. 520-527, (Enero 2022)
Appears in Collections:Actas de congresos
Show full item record

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.