Control de exoesqueleto de rehabilitación de mano con Leap Motion Controller

  1. Sierra, David 1
  2. Sánchez Brizuela, Guillermo 1
  3. Pérez Turiel, Javier 1
  4. Fraile, Juan Carlos 1
  1. 1 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

Livre:
XLIII Jornadas de Automática: libro de actas: 7, 8 y 9 de septiembre de 2022, Logroño (La Rioja)
  1. Carlos Balaguer Bernaldo de Quirós (coord.)
  2. José Manuel Andújar Márquez (coord.)
  3. Ramon Costa Castelló (coord.)
  4. Carlos Ocampo Martínez (coord.)
  5. Jesús Fernández Lozano (coord.)
  6. Matilde Santos Peñas (coord.)
  7. José Enrique Simó Ten (coord.)
  8. Montserrat Gil Martínez (coord.)
  9. Jose Luis Calvo Rolle (coord.)
  10. Raúl Marín Prades (coord.)
  11. Eduardo Rocón de Lima (coord.)
  12. Elisabet Estévez Estévez (coord.)
  13. Pedro Jesús Cabrera Santana (coord.)
  14. David Muñoz de la Peña Sequedo (coord.)
  15. José Luis Guzmán Sánchez (coord.)
  16. José Luis Pitarch Pérez (coord.)
  17. Oscar Reinoso García (coord.)
  18. Oscar Déniz Suárez (coord.)
  19. Emilio Jiménez Macías (coord.)
  20. Vanesa Loureiro Vázquez (coord.)

Éditorial: Servizo de Publicacións ; Universidade da Coruña

ISBN: 978-84-9749-841-8

Année de publication: 2022

Pages: 141-147

Congreso: Jornadas de Automática (43. 2022. Logroño)

Type: Communication dans un congrès

DIALNET GOOGLE SCHOLAR lock_openRUC editor

Résumé

This paper presents a new control algorithm for electromechanical hand rehabilitation devices based on the tracking of the hand structure and movements performed with Leap Motion Controller (LMC). This new control algorithm allows the realization of bilateral therapies without the need to use contact elements such as gloves or electrodes. The operation of the system has been validated in preliminary tests with healthy people and is currently being validated in a hospital environment with patients who have suffered a stroke.

La source de données: Dialnet