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
  • [41] Time Sparsification of EEG Signals in Motor-Imagery Based Brain Computer Interfaces
    Higashi, Hiroshi
    Tanaka, Toshihisa
    2012 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2012, : 4271 - 4274
  • [42] Motor imagery classification for Brain-Computer Interfaces through a chaotic neural network
    de Moraes Piazentin, Denis Renato
    Garcia Rosa, Joao Luis
    PROCEEDINGS OF THE 2014 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), 2014, : 4103 - 4108
  • [43] Progressive Fusion of Multi-rate Motor Imagery Classification for Brain Computer Interfaces
    Maloney, Tim
    Kalantar, Golnar
    Mohammadi, Arash
    2017 IEEE 60TH INTERNATIONAL MIDWEST SYMPOSIUM ON CIRCUITS AND SYSTEMS (MWSCAS), 2017, : 1613 - 1616
  • [44] Coupling Convolution, Transformer and Graph Embedding for Motor Imagery Brain-Computer Interfaces
    Wu, Zexu
    Sun, Biao
    Zhu, Xinshan
    2022 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 22), 2022, : 404 - 408
  • [45] Relation Learning Using Temporal Episodes for Motor Imagery Brain-Computer Interfaces
    Huang, Xiuyu
    Liang, Shuang
    Zhang, Yuanpeng
    Zhou, Nan
    Pedrycz, Witold
    Choi, Kup-Sze
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2023, 31 : 530 - 543
  • [46] Transfer Learning Based on Optimal Transport for Motor Imagery Brain-Computer Interfaces
    Peterson, Victoria
    Nieto, Nicolas
    Wyser, Dominik
    Lambercy, Olivier
    Gassert, Roger
    Milone, Diego H.
    Spies, Ruben D.
    IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2022, 69 (02) : 807 - 817
  • [47] Analysis of Correlated EEG Activity during Motor Imagery for Brain-Computer Interfaces
    Chung, Yoon Gi
    Kang, Jae Hwan
    Kim, Sung-Phil
    2011 11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2011, : 337 - 341
  • [48] ERD analysis method in motor imagery brain–computer interfaces for accurate switch input
    Nagamori S.
    Tanaka H.
    Artificial Life and Robotics, 2017, 22 (1) : 83 - 89
  • [49] Closed-loop motor imagery EEG simulation for brain-computer interfaces
    Shin, Hyonyoung
    Suma, Daniel
    He, Bin
    FRONTIERS IN HUMAN NEUROSCIENCE, 2022, 16
  • [50] Federated Motor Imagery Classification for Privacy-Preserving Brain-Computer Interfaces
    Jia, Tianwang
    Meng, Lubin
    Li, Siyang
    Liu, Jiajing
    Wu, Dongrui
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2024, 32 : 3442 - 3451