A Brain-Computer Interface Test-Bench Based on EEG Signals for Research and Student Training

被引:0
作者
Raif, Pawe [1 ]
Klos-Witkowska, Aleksandra [2 ]
Mahmud, Mufti [3 ]
Suchanek, Renata [4 ]
Hussain, Amir [5 ]
机构
[1] Silesian Tech Univ, Dept Biosensors & Biomed Signals Proc, Gliwice, Poland
[2] Univ Bielsko Biaaa, Dept Elect Engn & Automat, Bielsko Biaaa, Poland
[3] Univ Padua, NeuroChip Lab, I-35100 Padua, Italy
[4] Med Univ Silesia, Dept Med Genet, Sosnowiec, Poland
[5] Univ Stirling, Div Comp Sci & Maths, Stirling FK9 4LA, Scotland
来源
PROCEEDINGS OF THE 2013 IEEE SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE IN HEALTHCARE AND E-HEALTH (CICARE) | 2013年
关键词
Brain-computer interface; BCI in research and education; Electroencephalography; EEG signals; BCI;
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 test-bench model for brain-computer interface research based on EEG signals. The test-bench is going to be used for students training and education. The goal is to prepare modern Brain-Computer Interface development environment in order to create interest about this topic among the students.
引用
收藏
页码:46 / 50
页数:5
相关论文
共 50 条
  • [21] WIRELESS BRAIN-COMPUTER INTERFACE FOR ELECTRIC WHEELCHAIRS WITH EEG AND EYE-BLINKING SIGNALS
    Lin, Jzau-Sheng
    Yang, Win-Ching
    INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING INFORMATION AND CONTROL, 2012, 8 (09): : 6011 - 6024
  • [22] Guess or Not? A Brain-Computer Interface Using EEG Signals for Revealing the Secret behind Scores
    Xu, Tao
    Zhou, Yun
    Wang, Yuhan
    Zhao, Zichen
    Li, Shiqian
    CHI EA '19 EXTENDED ABSTRACTS: EXTENDED ABSTRACTS OF THE 2019 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS, 2019,
  • [23] A Filtering Method for Classification of Motor-Imagery EEG Signals for Brain-Computer Interface
    Ramya, Pinisetty Sri
    Yashasvi, Kondabolu
    Anjum, Arshiya
    Bhattacharyya, Abhijit
    Pachori, Ram Bilas
    PROCEEDINGS OF 2019 5TH IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMPUTING AND CONTROL (ISPCC 2K19), 2019, : 354 - 360
  • [24] Decoding Subject-Driven Cognitive States from EEG Signals for Cognitive Brain-Computer Interface
    Huang, Dingyong
    Wang, Yingjie
    Fan, Liangwei
    Yu, Yang
    Zhao, Ziyu
    Zeng, Pu
    Wang, Kunqing
    Li, Na
    Shen, Hui
    BRAIN SCIENCES, 2024, 14 (05)
  • [25] Reproducibility in Brain-Computer Interface Research: A Replication-Based Analysis
    Menon, Parthiv
    Sekaran, Vignesh
    Bajwa, Garima
    2022 IEEE 18TH INTERNATIONAL CONFERENCE ON E-SCIENCE (ESCIENCE 2022), 2022, : 462 - 467
  • [26] Integrating EEG and MEG Signals to Improve Motor Imagery Classification in Brain-Computer Interface
    Corsi, Marie-Constance
    Chavez, Mario
    Schwartz, Denis
    Hugueville, Laurent
    Khambhati, Ankit N.
    Bassett, Danielle S.
    Fallani, Fabrizio De Vico
    INTERNATIONAL JOURNAL OF NEURAL SYSTEMS, 2019, 29 (01)
  • [27] EEG-Based Brain-Computer Interface Using Visual Flicker Imagination for Assistive Communication System
    Saichoo, Theerat
    Siribunyaphat, Nannaphat
    Aung, Si Thu
    Punsawad, Yunyong
    IEEE ACCESS, 2024, 12 : 169557 - 169566
  • [28] EEG-Based Brain-Computer Interface for Control of Assistive Devices
    Kapralov, Nikolay, V
    Ekimovskii, Jaroslav, V
    Potekhin, Vyacheslav V.
    CYBER-PHYSICAL SYSTEMS AND CONTROL, 2020, 95 : 536 - 543
  • [29] The Influence of Smoothing Filtering Methods on the Performance of an EEG-Based Brain-Computer Interface
    Alzahrani, Saleh I.
    Alsaleh, Mashael M.
    IEEE ACCESS, 2023, 11 : 60171 - 60180
  • [30] Estimating the mutual information of an EEG-based brain-computer interface
    Schlögl, A
    Neuper, C
    Pfurtscheller, G
    BIOMEDIZINISCHE TECHNIK, 2002, 47 (1-2): : 3 - 8