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Eliciting higher SSVEP response from LED visual stimulus with varying luminosity levels

Mouli, S., Palaniappan, Ramaswamy (2017) Eliciting higher SSVEP response from LED visual stimulus with varying luminosity levels. In: 2016 International Conference for Students on Applied Engineering (ICSAE). . pp. 201-206. IEEE ISBN 978-1-4673-9053-8. (doi:10.1109/ICSAE.2016.7810188) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/10.1109/ICSAE.2016.7810188

Abstract

This study investigates the influence of LED visual stimulus brightness in evoking steady state visual evoked potential (SSVEP) responses in brain which can be utilised for vision research, medical diagnostics or for developing brain-computer interfaces (BCI). LED visual stimulus was based on a radial 130 mm chip on board (COB) LEDs emitting green light. The frequencies of the flickers were precisely controlled by a 32-bit microcontroller platform to generate SSVEP with high accuracy. For this study the luminosity of the visual stimulus was controlled externally at levels of 25, 50, 75 and 100% of the maximum visual stimulus brightness. The SSVEP frequencies used to investigate the luminosity effect were 7, 8, 9 and 10 Hz for a period of 30 seconds for all the four luminous levels of the visual stimulus. The study analysed the EEG recordings from five participants comprising of five trials for each frequency and luminous levels of visual stimulus. The results indicated that luminosity at 75% of the full brightness gave significantly higher response for all participants when compared to other luminous levels of the visual stimulus with reduced visual fatigue. © 2016 School of Mechanical and Systems Engineering.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ICSAE.2016.7810188
Additional information: Unmapped bibliographic data: C7 - 7810188 [EPrints field already has value set] LA - English [Field not mapped to EPrints] J2 - Int. Conf. Stud. Appl. Eng., ICSAE [Field not mapped to EPrints] AD - School of Computing, University of Kent, United Kingdom [Field not mapped to EPrints] DB - Scopus [Field not mapped to EPrints] M3 - Conference Paper [Field not mapped to EPrints] A4 - AL KINDI Society for Enginers; et al.; IEEE; Iraqi Students Society; Newcastle University, School of Mechanical and Systems Engineering; The Institution of Engineering and Technology (IET) Communities, Northumbria on Campus Group [Field not mapped to EPrints] C3 - 2016 International Conference for Students on Applied Engineering, ICSAE 2016 [Field not mapped to EPrints]
Uncontrolled keywords: Brain-computer interface, Electroencephalogram, LED, Luminosity, Steady state visual evoked potential, Visual fatigue, Brain computer interface, Diagnosis, Electroencephalography, Interface states, Interfaces (computer), Light emitting diodes, Full brightness, Luminosity levels, Medical diagnostics, Microcontroller platforms, Steady state visual evoked potentials, Vision research, Visual fatigue, Visual stimulus, Luminance
Divisions: Faculties > Sciences > School of Computing
Faculties > Sciences > School of Computing > Data Science
Depositing User: Palaniappan Ramaswamy
Date Deposited: 15 Dec 2018 16:06 UTC
Last Modified: 30 May 2019 08:28 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/70676 (The current URI for this page, for reference purposes)
Palaniappan, Ramaswamy: https://orcid.org/0000-0001-5296-8396
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