Brain-Computer Interface based on Steady-State Visual Evoked Potentials (SSVEP)

被引：0
|
作者：
Nawrocka, Agata [1 ]
Holewa, Karolina [1 ]
机构：
[1] AGH Univ Sci & Technol, Fac Mech Engn & Robot, Dept Proc Control, Krakow, Poland
来源：
PROCEEDINGS OF THE 2013 14TH INTERNATIONAL CARPATHIAN CONTROL CONFERENCE (ICCC) | 2013年
关键词：
Electroencephalography (EEG); EEG signal; biological signals; brain - computer interface (BCI); Steady - State Visual Evoked Potentials (SSVEP);
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The paper describes a virtual keyboard based on a brain computer interface, controlled by Steady - State Visual Evoked Potentials (SSVEP). Steady-State Visual Evoked Potentials are natural responses when the retina is excited by a visual stimulus ranging from 3.5 Hz to 75 Hz. The SSVEPs are characterized by an increase in EEG activity around the stun alas frequency. The SSVEP component has been detected using Welsch 's method. The Virtual Keyboard is characterized by high signal-to-noise ratio (SNR)
引用
收藏
页码：251 / 254
页数：4
相关论文
共 50 条
  • [1] Brain-computer Interface Based on Steady-state Visual Evoked Potentials
    Friganovic, K.
    Medved, M.
    Cifrek, M.
    2016 39TH INTERNATIONAL CONVENTION ON INFORMATION AND COMMUNICATION TECHNOLOGY, ELECTRONICS AND MICROELECTRONICS (MIPRO), 2016, : 391 - 395
  • [2] A brain-computer interface based on steady-state visual evoked potential
    Hirose, Hideaki
    Koike, Yasuharu
    NEUROSCIENCE RESEARCH, 2011, 71 : E203 - E204
  • [3] WeBB: A Brain-Computer Interface Web Browser Based on Steady-State Visual Evoked Potentials
    Yehia, Ahmed G.
    Eldawlatly, Seif
    Taher, Mohamed
    2017 12TH INTERNATIONAL CONFERENCE ON COMPUTER ENGINEERING AND SYSTEMS (ICCES), 2017, : 52 - 57
  • [4] Comparison of Steady-State Visual and Somatosensory Evoked Potentials for Brain-Computer Interface Control
    Smith, Dante J.
    Varghese, Lenny A.
    Stepp, Cara E.
    Guenther, Frank H.
    2014 36TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2014, : 1234 - 1237
  • [5] A Wearable Wireless Brain-Computer Interface Using Steady-State Visual Evoked Potentials
    Lim, Alfred
    Chia, Wai Chong
    2018 3RD INTERNATIONAL CONFERENCE ON CONTROL, ROBOTICS AND CYBERNETICS (CRC), 2018, : 78 - 82
  • [6] A brain-computer interface based on high-frequency steady-state asymmetric visual evoked potentials
    Yue, Liang
    Xiao, Xiaolin
    Xu, Minpeng
    Chen, Long
    Wang, Yijun
    Jung, Tzyy-Ping
    Ming, Dong
    42ND ANNUAL INTERNATIONAL CONFERENCES OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY: ENABLING INNOVATIVE TECHNOLOGIES FOR GLOBAL HEALTHCARE EMBC'20, 2020, : 3090 - 3093
  • [7] A Modified Hybrid Brain-Computer Interface Speller Based on Steady-State Visual Evoked Potentials and Electromyogram
    Sadeghi, Sahar
    Maleki, Ali
    JOURNAL OF INTEGRATIVE NEUROSCIENCE, 2024, 23 (04)
  • [8] PERFORMANCE ESTIMATION OF A COOPERATIVE BRAIN-COMPUTER INTERFACE BASED ON THE DETECTION OF STEADY-STATE VISUAL EVOKED POTENTIALS
    Cecotti, Hubert
    Rivet, Bertrand
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [9] Brain-computer interface based on high frequency steady-state visual evoked potentials: A feasibility study
    Hoffmann, Ulrich
    Fimbel, Eric J.
    Keller, Thierry
    2009 4TH INTERNATIONAL IEEE/EMBS CONFERENCE ON NEURAL ENGINEERING, 2009, : 459 - +
  • [10] Review of brain-computer interface based on steady-state visual evoked potential
    Siyu Liu
    Deyu Zhang
    Ziyu Liu
    Mengzhen Liu
    Zhiyuan Ming
    Tiantian Liu
    Dingjie Suo
    Shintaro Funahashi
    Tianyi Yan
    BrainScienceAdvances, 2022, 8 (04) : 258 - 275
12345