E-book Reader Application Driven by Commands Provided by a Brain-Computer Interface Based on Motor Imagery Paradigm

被引：0
|
作者：
Rejer, Izabela [1 ]
Klimek, Andrzej [1 ]
机构：
[1] West Pomeranian Univ Technol, Zolnierska 49, PL-71210 Szczecin, Poland
来源：
SOFT COMPUTING IN COMPUTER AND INFORMATION SCIENCE | 2015年 / 342卷
关键词：
Brain-computer interface; BCI; E-book reader; Computer application driven by BCI; Brain potential; Motor imagery;
D O I：
10.1007/978-3-319-15147-2_9
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In order to implement a computer application that will be driven by commands provided by a brain-computer interface, a change in the control approach is necessary. In this paper we discuss the brain potentials used in the brain-computer interfaces in terms of their usefulness for controlling different types of applications. Our primary goal is to propose a simple control approach based on a motor imagery strategy and to present an example of a real computer application (an e-book reader) that applies this approach.
引用
收藏
页码：95 / 105
页数：11
相关论文
共 50 条
  • [31] A magnetoencephalography dataset for motor and cognitive imagery-based brain-computer interface
    Dheeraj Rathee
    Haider Raza
    Sujit Roy
    Girijesh Prasad
    Scientific Data, 8
  • [32] Motor Imagery-based Brain-Computer Interface: Neural Network Approach
    D. M. Lazurenko
    V. N. Kiroy
    I. E. Shepelev
    L. N. Podladchikova
    Optical Memory and Neural Networks, 2019, 28 : 109 - 117
  • [33] Real-Time Brain-Computer Interface System Based on Motor Imagery
    Tie-Jun Liu
    Journal of Electronic Science and Technology, 2009, 7 (01) : 3 - 6
  • [34] Signal classification algorithm in motor imagery based on asynchronous brain-computer interface
    Jiang, Yu
    He, Jingyan
    Li, Dandan
    Jin, Jing
    Shen, Yi
    2019 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2019, : 1422 - 1426
  • [35] Motor Imagery Brain-Computer Interface for RPAS Command and Control
    Arnaldo, Rosa
    Gomez Comendador, Fernando
    Perez, Luis
    Rodriguez, Alvaro
    ADVANCES IN HUMAN FACTORS AND SYSTEMS INTERACTION, 2018, 592 : 325 - 335
  • [36] Neurofeedback-based motor imagery training for brain-computer interface (BCI)
    Hwang, Han-Jeong
    Kwon, Kiwoon
    Im, Chang-Hwang
    JOURNAL OF NEUROSCIENCE METHODS, 2009, 179 (01) : 150 - 156
  • [37] Classification of Motor Imagery for Ear-EEG based Brain-Computer Interface
    Kim, Yong-Jeong
    Kwak, No-Sang
    Lee, Seong-Whan
    2018 6TH INTERNATIONAL CONFERENCE ON BRAIN-COMPUTER INTERFACE (BCI), 2018, : 129 - 130
  • [38] Effects of Task Complexity on Motor Imagery-Based Brain-Computer Interface
    Mashat, M. Ebrahim M.
    Lin, Chin-Teng
    Zhang, Dingguo
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2019, 27 (10) : 2178 - 2185
  • [39] Is Implicit Motor Imagery a Reliable Strategy for a Brain-Computer Interface?
    Osuagwu, Bethel A.
    Zych, Magdalena
    Vuckovic, Aleksandra
    IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING, 2017, 25 (12) : 2239 - 2248
  • [40] Phase locking analysis of motor imagery in brain-computer interface
    Hu, Jianfeng
    Mu, Zhendong
    Wang, Jinli
    BMEI 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON BIOMEDICAL ENGINEERING AND INFORMATICS, VOL 2, 2008, : 478 - 481
12345