Testing Brain—Computer Interfaces with Airplane Pilots under New Motor Imagery Tasks

被引:0
|
作者
German Rodriguez-Bermudez
Alejandro Lopez-Belchi
Arnaud Girault
机构
[1] UPCT-MDE Calle Coronel Lopez Peña,University Center of Defence at the Spanish Air Force Academy
[2] French Air Force Academy,undefined
关键词
Brain computer interface; Motor imagery; Aircraft pilots;
D O I
暂无
中图分类号
学科分类号
摘要
The purpose of a brain—computer interface (BCI) is the recording of brain signals to translate them into commands. This work proposes new naturalistic and intuitive motor imagery (MI) BCI task for aircraft Pilots for a BCI System, and explore if they take advantage of their previous motor experience in MI—BCI experiments. Results show that Pilots get better performance than a control group and that it is possible to get good classification accuracy results with new naturalistic MI tasks.
引用
收藏
页码:937 / 946
页数:9
相关论文
共 50 条
  • [31] Subject-oriented training for motor imagery brain-computer interfaces
    Perdikis, Serafeim
    Leeb, Robet
    Millan, Jose del R.
    2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2014, : 1259 - 1262
  • [32] The use of EEG modifications due to motor imagery for brain-computer interfaces
    Cincotti, F
    Mattia, D
    Babiloni, C
    Carducci, F
    Salinari, S
    Bianchi, L
    Marciani, MG
    Babiloni, F
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2003, 11 (02) : 131 - 133
  • [33] Classification in Frequency Domain of EEG Signals of Motor Imagery for Brain Computer Interfaces
    Halici, Ugur
    BIYOMUT: 2009 14TH NATIONAL BIOMEDICAL ENGINEERING MEETING, 2009, : 37 - 40
  • [34] Robustly Effective Approaches on Motor Imagery-Based Brain Computer Interfaces
    Moumgiakmas, Seraphim S.
    Papakostas, George A.
    COMPUTERS, 2022, 11 (05)
  • [35] An Impending Paradigm Shift in Motor Imagery Based Brain-Computer Interfaces
    Papadopoulos, Sotirios
    Bonaiuto, James
    Mattout, Jeremie
    FRONTIERS IN NEUROSCIENCE, 2022, 15
  • [36] Phase-based features for Motor Imagery Brain-Computer Interfaces
    Hamner, Benjamin
    Leeb, Robert
    Tavella, Michele
    Millan, Jose del R.
    2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2011, : 2578 - 2581
  • [37] A correntropy-based classifier for motor imagery brain-computer interfaces
    Suarez Uribe, Luisa Fernanda
    Stefano Filho, Carlos Alberto
    de Oliveira, Vinicius Alves
    da Silva Costa, Thiago Bulhoes
    Rodrigues, Paula Gabrielly
    Soriano, Diogo Coutinho
    Boccato, Levy
    Castellano, Gabriela
    Attux, Romis
    BIOMEDICAL PHYSICS & ENGINEERING EXPRESS, 2019, 5 (06):
  • [38] Motor imagery based brain-computer interfaces: An emerging technology to rehabilitate motor deficits
    Maria Alonso-Valerdi, Luz
    Antonio Salido-Ruiz, Ricardo
    Ramirez-Mendoza, Ricardo A.
    NEUROPSYCHOLOGIA, 2015, 79 : 354 - 363
  • [39] Testing Extreme Learning Machine in Motor Imagery Brain Computer Interface
    Martinez-Albaladejo, Francisco J.
    Bueno-Crespo, Andres
    Rodriguez-Bermudez, German
    JOURNAL OF INTELLIGENT & FUZZY SYSTEMS, 2017, 33 (05) : 3103 - 3111
  • [40] Classification of Motor Imagery Tasks Using Inter Trial Variance In The Brain Computer Interface
    Shahlaei, Fatemeh
    Bagh, Niraj
    Shaligram, A. D.
    Reddy, M. Ramasubba
    Zambare, M. S.
    2018 IEEE INTERNATIONAL SYMPOSIUM ON MEDICAL MEASUREMENTS AND APPLICATIONS (MEMEA), 2018, : 321 - 326