In-Ear Electrode EEG for Practical SSVEP BCI
Steady State Visual Evoked Potential (SSVEP) methods for brain–computer interfaces (BCI) are popular due to higher information transfer rate and easier setup with minimal training, compared to alternative methods. With precisely generated visual stimulus frequency, it is possible to translate brain...
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2020-11-01
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doaj-248f088de1de4f10980b6f9218a551ea2020-11-25T04:07:57ZengMDPI AGTechnologies2227-70802020-11-018636310.3390/technologies8040063In-Ear Electrode EEG for Practical SSVEP BCISurej Mouli0Ramaswamy Palaniappan1Emmanuel Molefi2Ian McLoughlin3Data Science Research Group, School of Computing, University of Kent, Chatham ME4 3JE, UKData Science Research Group, School of Computing, University of Kent, Chatham ME4 3JE, UKData Science Research Group, School of Computing, University of Kent, Chatham ME4 3JE, UKInformation Technology Cluster, Singapore Institute of Technology, Singapore 138683, SingaporeSteady State Visual Evoked Potential (SSVEP) methods for brain–computer interfaces (BCI) are popular due to higher information transfer rate and easier setup with minimal training, compared to alternative methods. With precisely generated visual stimulus frequency, it is possible to translate brain signals into external actions or signals. Traditionally, SSVEP data is collected from the occipital region using electrodes with or without gel, normally mounted on a head cap. In this experimental study, we develop an in-ear electrode to collect SSVEP data for four different flicker frequencies and compare against occipital scalp electrode data. Data from five participants demonstrates the feasibility of in-ear electrode based SSVEP, significantly enhancing the practicability of wearable BCI applications.https://www.mdpi.com/2227-7080/8/4/63BCIEEGin-ear electrodeSSVEPwearable-BCI |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Surej Mouli Ramaswamy Palaniappan Emmanuel Molefi Ian McLoughlin |
spellingShingle |
Surej Mouli Ramaswamy Palaniappan Emmanuel Molefi Ian McLoughlin In-Ear Electrode EEG for Practical SSVEP BCI Technologies BCI EEG in-ear electrode SSVEP wearable-BCI |
author_facet |
Surej Mouli Ramaswamy Palaniappan Emmanuel Molefi Ian McLoughlin |
author_sort |
Surej Mouli |
title |
In-Ear Electrode EEG for Practical SSVEP BCI |
title_short |
In-Ear Electrode EEG for Practical SSVEP BCI |
title_full |
In-Ear Electrode EEG for Practical SSVEP BCI |
title_fullStr |
In-Ear Electrode EEG for Practical SSVEP BCI |
title_full_unstemmed |
In-Ear Electrode EEG for Practical SSVEP BCI |
title_sort |
in-ear electrode eeg for practical ssvep bci |
publisher |
MDPI AG |
series |
Technologies |
issn |
2227-7080 |
publishDate |
2020-11-01 |
description |
Steady State Visual Evoked Potential (SSVEP) methods for brain–computer interfaces (BCI) are popular due to higher information transfer rate and easier setup with minimal training, compared to alternative methods. With precisely generated visual stimulus frequency, it is possible to translate brain signals into external actions or signals. Traditionally, SSVEP data is collected from the occipital region using electrodes with or without gel, normally mounted on a head cap. In this experimental study, we develop an in-ear electrode to collect SSVEP data for four different flicker frequencies and compare against occipital scalp electrode data. Data from five participants demonstrates the feasibility of in-ear electrode based SSVEP, significantly enhancing the practicability of wearable BCI applications. |
topic |
BCI EEG in-ear electrode SSVEP wearable-BCI |
url |
https://www.mdpi.com/2227-7080/8/4/63 |
work_keys_str_mv |
AT surejmouli inearelectrodeeegforpracticalssvepbci AT ramaswamypalaniappan inearelectrodeeegforpracticalssvepbci AT emmanuelmolefi inearelectrodeeegforpracticalssvepbci AT ianmcloughlin inearelectrodeeegforpracticalssvepbci |
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