Monitorización de víctimas con manipuladores aéreos en operaciones de búsqueda y rescate

  1. Francisco J. Ruiz-Ruiz 1
  2. Juan M. Gandarias 1
  3. Antonio J. Muñoz-Ramírez 1
  4. Alfonso J. García-Cerezo 1
  5. Francisco Pastor-Martín 1
  6. Jesús M. Gómez-de-Gabriel 1
  1. 1 Universidad de Málaga
    info
    Universidad de Málaga

    Málaga, España

    ROR https://ror.org/036b2ww28

    Geographic location of the organization Universidad de Málaga
Book:
XXXIX Jornadas de Automática: actas. Badajoz, 5-7 de septiembre de 2018
  1. Inés Tejado Balsera (coord.)
  2. Emiliano Pérez Hernández (coord.)
  3. Antonio José Calderón Godoy (coord.)
  4. Isaías González Pérez (coord.)
  5. Pilar Merchán García (coord.)
  6. Jesús Lozano Rogado (coord.)
  7. Santiago Salamanca Miño (coord.)
  8. Blas M. Vinagre Jara (coord.)

Publisher: Universidad de Extremadura

ISBN: 978-84-9749-756-5,  978-84-09-04460-3

Year of publication: 2018

Pages: 379-386

Congress: Jornadas de Automática (39. 2018. Badajoz)

Type: Conference paper

DOI: 10.17979/SPUDC.9788497497565.0379 DIALNET GOOGLE SCHOLAR HANDLE: https://hdl.handle.net/2183/24795

Sustainable development goals

info

SDG classification obtained using Aurora SDG artificial intelligence model.

Abstract

In this paper, the first device for monitoring casualties including automatic placement with aerial robotic manipulators is presented. The distributed system allows the continuous evaluation of the health status of victims in massive disaster scenarios. The design of the sensor and the communication system is described. The continuous monitoring system has many advantages against the current triage methodologies. It can obtain time series from the collected data by ehealth sensors. The sensors integrated in the wereable device provide information about vital signs that are published via Internet of Things (IoT) communication protocols for remote sensing. Furthermore, the application of attaching sensors using Unmanned Aerial Systems (UAS) is also introduced. Deep learning techniques are applied for autonomously detecting the pose of the wrist of the victim. Preliminary experiments and results show the functionality of the remote sensing system.

Data source: Dialnet