Nuevos métodos para la detección de obstáculos inesperados durante la marcha normal a través de señales EEG
- María Elvira 1
- Eduardo Iáñez 1
- Vicente Quiles 1
- Mario Ortiz 1
- José M. Azorín 1
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1
Universidad Miguel Hernández de Elche
info
- Jose Luis Calvo Rolle (coord.)
- Jose Luis Casteleiro Roca (coord.)
- María Isabel Fernández Ibáñez (coord.)
- Óscar Fontenla Romero (coord.)
- Esteban Jove Pérez (coord.)
- Alberto José Leira Rejas (coord.)
- José Antonio López Vázquez (coord.)
- Vanesa Loureiro Vázquez (coord.)
- María Carmen Meizoso López (coord.)
- Francisco Javier Pérez Castelo (coord.)
- Andrés José Piñón Pazos (coord.)
- Héctor Quintián Pardo (coord.)
- Juan Manuel Rivas Rodríguez (coord.)
- Benigno Rodríguez Gómez (coord.)
- Rafael Alejandro Vega Vega (coord.)
Editorial: Servizo de Publicacións ; Universidade da Coruña
ISBN: 978-84-9749-716-9
Año de publicación: 2019
Páginas: 55-62
Congreso: Jornadas de Automática (40. 2019. Ferrol)
Tipo: Aportación congreso
Resumen
This paper aims to evaluate new methods for detecting the appearance of an unexpected obstacle during the normal gait from electroencephalographic signals (EEG), reducing the false positive rate obtained in previous studies. This way, in case that an emergency occurs, an exoskeleton for both rehabilitation and assistance to people with a motor disability could be stopped. Our purpose is, therefore, to address the implementation of this exoskeleton in real life, getting greater interaction and involvement of the subject with the system. An improvement in the results has been achieved with respect to a previous study, obtaining 75.0 % success rate and 4.5 false positives per minute (FP/min).