Literature DB >> 27651060

A multi-command SSVEP-based BCI system based on single flickering frequency half-field steady-state visual stimulation.

Yunyong Punsawad1, Yodchanan Wongsawat2.   

Abstract

Steady-state visual evoked potentials (SSVEPs) are widely employed in brain-computer interface (BCI) applications, especially to control machines. However, the use of SSVEPs leads to eye fatigue and causes lower accuracy over the long term, particularly when multi-commands are required. Therefore, this paper proposes a half-field steady-state visual stimulation pattern and paradigm to increase the limited number of commands that can be achieved with existing SSVEP-based BCI methods. Following the theory of vision perception and existing half-field SSVEP-based BCI systems, the new stimulation pattern generates four commands using only one frequency flickering stimulus and has an average classification accuracy of approximately 75 %. According to the proposed stimulus pattern, using only one frequency without requiring users to stare directly at the flickering stimulus allows users to easily focus on the system and experience less visual fatigue compared to existing systems. Furthermore, new half-field SSVEP-based BCI systems are proposed, incorporating our proposed feature extraction and decision-making algorithm. Extracting the signal from the occipital area and using a reference electrode position at the parietal area yielded better results compared to the central area. In addition, we recommend using an LED or LCD as the visual stimulus device (at the recommended size), which yielded comparable results to our proposed feature extraction and decision-making algorithm. Finally, an application of the proposed system is demonstrated for real-time television control.

Entities:  

Keywords:  Brain–computer interface; Electroencephalogram; Half-field; SSVEP

Mesh:

Year:  2016        PMID: 27651060     DOI: 10.1007/s11517-016-1560-3

Source DB:  PubMed          Journal:  Med Biol Eng Comput        ISSN: 0140-0118            Impact factor:   2.602


  19 in total

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7.  A half-field stimulation pattern for SSVEP-based brain-computer interface.

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Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2009

8.  A P300-based brain-computer interface aimed at operating electronic devices at home for severely disabled people.

Authors:  Rebeca Corralejo; Luis F Nicolás-Alonso; Daniel Alvarez; Roberto Hornero
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9.  A vision-free brain-computer interface (BCI) paradigm based on auditory selective attention.

Authors:  Do-Won Kim; Jae-Hyun Cho; Han-Jeong Hwang; Jeong-Hwan Lim; Chang-Hwan Im
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10.  Control of an electrical prosthesis with an SSVEP-based BCI.

Authors:  Gernot R Müller-Putz; Gert Pfurtscheller
Journal:  IEEE Trans Biomed Eng       Date:  2008-01       Impact factor: 4.538

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  1 in total

1.  An inter-subject model to reduce the calibration time for motion imagination-based brain-computer interface.

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  1 in total

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