ExoEpiexoesqueleto de tobillo para asistencia de personal de emergencias

  1. Herraiz-Sala, Manuel 1
  2. Fernández-Irles, Clemente 1
  3. Martínez-Pascual, David 1
  4. Blanco Ivorra, Andrea 1
  5. Aran Ais, Francisca 2
  6. Garcia-Aracil, Nicolas 1
  1. 1 Universidad Miguel Hernández de Elche
    info

    Universidad Miguel Hernández de Elche

    Elche, España

    ROR https://ror.org/01azzms13

  2. 2 INESCOP : Centro Tecnológico del Calzado
Book:
XLIV Jornadas de Automática: libro de actas: Universidad de Zaragoza, Escuela de Ingeniería y Arquitectura, 6, 7 y 8 de septiembre de 2023, Zaragoza
  1. Ramón Costa Castelló (coord.)
  2. Manuel Gil Ortega (coord.)
  3. Óscar Reinoso García (coord.)
  4. Luis Enrique Montano Gella (coord.)
  5. Carlos Vilas Fernández (coord.)
  6. Elisabet Estévez Estévez (coord.)
  7. Eduardo Rocón de Lima (coord.)
  8. David Muñoz de la Peña Sequedo (coord.)
  9. José Manuel Andújar Márquez (coord.)
  10. Luis Payá Castelló (coord.)
  11. Alejandro Mosteo Chagoyen (coord.)
  12. Raúl Marín Prades (coord.)
  13. Vanesa Loureiro-Vázquez (coord.)
  14. Pedro Jesús Cabrera Santana (coord.)

Publisher: Servizo de Publicacións ; Universidade da Coruña

ISBN: 9788497498609

Year of publication: 2023

Pages: 617-621

Congress: Jornadas de Automática (44. 2023. Zaragoza)

Type: Conference paper

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Abstract

The main objective of the ExoEpi project is to develop personal protective footwear for long-duration emergency response activities that incorporates an integrated exoskeleton to help the user develop gait patterns that reduce fatigue and improve performance. This work presents the design, control, and evaluation of the developed exoskeleton. The device consists of an electric motor and a crank system that allows it to be attached to safety shoes. In addition, the system has inertial sensors that allow the detection of different gait phases to support the phases of greater effort. Finally, the ExoEpi device was evaluated using oxygen consumption measurements to estimate fatigue when the exoskeleton is used in active and passive modes. The results suggest that fatigue decreases when the exoskeleton is in active mode.

Data source: Dialnet