Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training

Thomas Bender; Troels W. Kjaer; Carsten E. Thomsen; Helge Bjarup Dissing Sørensen; Sadasivan Puthusserypady

doi:10.1109/EMBC.2013.6610491

Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training

Thomas Bender, Troels W. Kjaer, Carsten E. Thomsen, Helge Bjarup Dissing Sørensen, Sadasivan Puthusserypady

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

This paper presents a novel and computationally simple tri-training based semi-supervised steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI). It is implemented with autocorrelation-based features and a Naïve-Bayes classifier (NBC). The system uses nine characters presented on a 100 Hz CRT-monitor, three scalp electrodes for signal acquisition, a gUSB-amp for preamplification and two PCs for data-processing and stimulus control respectively. Preliminary test results of the system on nine healthy subjects, with and without tri-training, indicates that the accuracy improves as a result of tri-training.

Original language	English
Title of host publication	IEEE Engineering in medicine and biology society conference proceedings
Number of pages	4
Publisher	IEEE
Publication date	2013
Pages	4279-4282
ISBN (Print)	978-1-4577-0216-7
DOIs	https://doi.org/10.1109/EMBC.2013.6610491
Publication status	Published - 2013
Event	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Oaska International Convention Center, Osaka, Japan Duration: 3 Jul 2013 → 7 Jul 2013 Conference number: 35 https://ieeexplore.ieee.org/xpl/conhome/6596169/proceeding

Conference

Conference	2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Number	35
Location	Oaska International Convention Center
Country/Territory	Japan
City	Osaka
Period	03/07/2013 → 07/07/2013
Internet address	https://ieeexplore.ieee.org/xpl/conhome/6596169/proceeding

Keywords

Engineered Materials, Dielectrics and Plasmas
Brain-Computer Interface
Steady-State Visual Evoked Potentials
Tri-training
Autocorrelation
Naïve-Bayes Classifier

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10.1109/EMBC.2013.6610491

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@inproceedings{435f111f3a694e368682d5021c8888d0,

title = "Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training",

abstract = "This paper presents a novel and computationally simple tri-training based semi-supervised steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI). It is implemented with autocorrelation-based features and a Na{\"i}ve-Bayes classifier (NBC). The system uses nine characters presented on a 100 Hz CRT-monitor, three scalp electrodes for signal acquisition, a gUSB-amp for preamplification and two PCs for data-processing and stimulus control respectively. Preliminary test results of the system on nine healthy subjects, with and without tri-training, indicates that the accuracy improves as a result of tri-training.",

keywords = "Engineered Materials, Dielectrics and Plasmas, Brain-Computer Interface, Steady-State Visual Evoked Potentials, Tri-training, Autocorrelation, Na{\"i}ve-Bayes Classifier",

author = "Thomas Bender and Kjaer, {Troels W.} and Thomsen, {Carsten E.} and S{\o}rensen, {Helge Bjarup Dissing} and Sadasivan Puthusserypady",

year = "2013",

doi = "10.1109/EMBC.2013.6610491",

language = "English",

isbn = "978-1-4577-0216-7",

pages = "4279--4282",

booktitle = "IEEE Engineering in medicine and biology society conference proceedings",

publisher = "IEEE",

address = "United States",

note = "2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2013 ; Conference date: 03-07-2013 Through 07-07-2013",

url = "https://ieeexplore.ieee.org/xpl/conhome/6596169/proceeding",

}

Bender, T, Kjaer, TW, Thomsen, CE, Sørensen, HBD & Puthusserypady, S 2013, Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training. in IEEE Engineering in medicine and biology society conference proceedings. IEEE, pp. 4279-4282, 2013 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Osaka, Japan, 03/07/2013. https://doi.org/10.1109/EMBC.2013.6610491

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AU - Puthusserypady, Sadasivan

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AB - This paper presents a novel and computationally simple tri-training based semi-supervised steady-state visual evoked potential (SSVEP)-based brain-computer interface (BCI). It is implemented with autocorrelation-based features and a Naïve-Bayes classifier (NBC). The system uses nine characters presented on a 100 Hz CRT-monitor, three scalp electrodes for signal acquisition, a gUSB-amp for preamplification and two PCs for data-processing and stimulus control respectively. Preliminary test results of the system on nine healthy subjects, with and without tri-training, indicates that the accuracy improves as a result of tri-training.

KW - Engineered Materials, Dielectrics and Plasmas

KW - Brain-Computer Interface

KW - Steady-State Visual Evoked Potentials

KW - Tri-training

KW - Autocorrelation

KW - Naïve-Bayes Classifier

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EP - 4282

BT - IEEE Engineering in medicine and biology society conference proceedings

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Y2 - 3 July 2013 through 7 July 2013

ER -

Semi-supervised adaptation in ssvep-based brain-computer interface using tri-training

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Keywords

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