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DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset

Mouli, Surej, Palaniappan, Ramaswamy (2020) DIY Hybrid SSVEP-P300 LED Stimuli for BCI Platform Using EMOTIV EEG Headset. HardwareX, 8 . ISSN 2468-0672. E-ISSN 2468-0672. (doi:10.1016/j.ohx.2020.e00113) (KAR id:81314)

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A fully customisable chip-on board (COB) LED design to evoke two brain responses simultaneously (steady state visual evoked potential (SSVEP) and transient evoked potential, P300) is discussed in this paper. Considering different possible modalities in brain-computer interfacing (BCI), SSVEP is widely accepted as it requires a lesser number of electroencephalogram (EEG) electrodes and minimal training time. The aim of this work was to produce a hybrid BCI hardware platform to evoke SSVEP and P300 precisely with reduced fatigue and improved classification performance. The system comprises of four independent radial green visual stimuli controlled individually by a 32-bit microcontroller platform to evoke SSVEP and four red LEDs flashing at random intervals to generate P300 events. The system can also record the P300 event timestamps that can be used in classification, to improve the accuracy and reliability. The hybrid stimulus was tested for real-time classification accuracy by controlling a LEGO robot to move in four directions.

Item Type: Article
DOI/Identification number: 10.1016/j.ohx.2020.e00113
Uncontrolled keywords: Hybrid BCI, Brain-computer interface, Emotiv, LED Radial Stimulus, LEGO, Oddball, P300 event marker, Steady-State Visual Evoked Potential, Visual Fatigue, Real-time control, Assistive control, SSVEP.
Subjects: Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.9.H85 Human computer interaction
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK7800 Electronics > TK7880 Applications of electronics > TK7885 Computer engineering. Computer hardware
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Depositing User: Surej Mouli
Date Deposited: 19 May 2020 17:31 UTC
Last Modified: 11 Jan 2024 17:14 UTC
Resource URI: (The current URI for this page, for reference purposes)

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