Mouli, Surej, Palaniappan, Ramaswamy, Molefi, Emmanuel, McLoughlin, Ian Vince (2020) In-ear electrode EEG for practical SSVEP BCI. Technologies, 8 (4). Article Number 63. E-ISSN 2227-7080. (doi:10.3390/technologies8040063) (KAR id:85289)
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Language: English
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Official URL: https://doi.org/10.3390/technologies8040063 |
Abstract
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.
Item Type: | Article |
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DOI/Identification number: | 10.3390/technologies8040063 |
Uncontrolled keywords: | BCI; EEG; in-ear electrode; SSVEP; wearable-BCI |
Subjects: | Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | Palaniappan Ramaswamy |
Date Deposited: | 03 Jan 2021 23:24 UTC |
Last Modified: | 05 Nov 2024 12:51 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/85289 (The current URI for this page, for reference purposes) |
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