A Motor Imagery Based Brain-Computer Interface Speller

被引：0
|
作者：
Xia, Bin [1 ]
Yang, Jing [1 ]
Cheng, Conghui [1 ]
Xie, Hong [1 ]
机构：
[1] Shanghai Maritime Univ, Dept Elect Engn, Shanghai, Peoples R China
来源：
ADVANCES IN COMPUTATIONAL INTELLIGENCE, PT II | 2013年 / 7903卷
关键词：
Motor Imagery; Brain-Computer Interface; Speller; COMMUNICATION; SYSTEM; SPEED;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Speller is an important application in brain-computer interface researching. In this study, we developed a novel motor imagery based brain-computer interface speller which integrates a 2-D cursor control strategy into a hex-o-spell paradigm to spell a character in two-step. The experimental results (five subjects participated) showed that the average spelling speed is 14.64 characters per minute and that its average information transfer rate is 73.96 bits per minute.
引用
收藏
页码：413 / 421
页数：9
相关论文
共 50 条
  • [1] A Predictive Speller Controlled by a Brain-Computer Interface Based on Motor Imagery
    D'Albis, Tiziano
    Blatt, Rossella
    Tedesco, Roberto
    Sbattella, Licia
    Matteucci, Matteo
    [J]. ACM TRANSACTIONS ON COMPUTER-HUMAN INTERACTION, 2012, 19 (03)
  • [2] Brain-Computer Interface speller using hybrid P300 and motor imagery signals
    Roula, M. A.
    Kulon, J.
    Mamatjan, Y.
    [J]. 2012 4TH IEEE RAS & EMBS INTERNATIONAL CONFERENCE ON BIOMEDICAL ROBOTICS AND BIOMECHATRONICS (BIOROB), 2012, : 224 - 227
  • [3] A Motor Imagery Based Brain-Computer Interface for Stroke Rehabilitation
    Ortner, R.
    Irimia, D. -C.
    Scharinger, J.
    Guger, C.
    [J]. ANNUAL REVIEW OF CYBERTHERAPY AND TELEMEDICINE, 2012, 10 : 319 - 323
  • [4] Extending Motor Imagery by Speech Imagery for Brain-Computer Interface
    Wang, Li
    Zhang, Xiong
    Zhang, Yu
    [J]. 2013 35TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2013, : 7056 - 7059
  • [5] A Synchronous Motor Imagery Based Neural Physiological Paradigm for Brain Computer Interface Speller
    Cao, Lei
    Xia, Bin
    Maysam, Oladazimi
    Li, Jie
    Xie, Hong
    Birbaumer, Niels
    [J]. FRONTIERS IN HUMAN NEUROSCIENCE, 2017, 11
  • [6] EEG datasets for motor imagery brain-computer interface
    Cho, Hohyun
    Ahn, Minkyu
    Ahn, Sangtae
    Kwon, Moonyoung
    Jun, Sung Chan
    [J]. GIGASCIENCE, 2017, 6 (07): : 1 - 8
  • [7] Feature Extraction of Brain-Computer Interface Electroencephalogram Based on Motor Imagery
    Shi, Tianwei
    Ren, Ling
    Cui, Wenhua
    [J]. IEEE SENSORS JOURNAL, 2020, 20 (20) : 11787 - 11794
  • [8] Design of a Robotic Wheelchair with a Motor Imagery based Brain-Computer Interface
    Kim, Keun-Tae
    Carlson, Tom
    Lee, Seong-Whan
    [J]. 2013 IEEE INTERNATIONAL WINTER WORKSHOP ON BRAIN-COMPUTER INTERFACE (BCI), 2013, : 46 - 48
  • [9] Design of electrode layout for motor imagery based brain-computer interface
    Wang, Y.
    Hong, B.
    Gao, X.
    Gao, S.
    [J]. ELECTRONICS LETTERS, 2007, 43 (10) : 557 - 558
  • [10] Bipolar electrode selection for a motor imagery based brain-computer interface
    Lou, Bin
    Hong, Bo
    Gao, Xiaorong
    Gao, Shangkai
    [J]. JOURNAL OF NEURAL ENGINEERING, 2008, 5 (03) : 342 - 349
12345