Abstract
This paper introduces a newly developed visually stimulating iOS-based application MCF for investigating colour’s impact on the brain signals for Brain-Computer Interface development. The application’s main purpose is to streamline the workflow associated with testing different stimuli colour combinations in eliciting brainwaves. Electroencephalograph headset called Emotiv EPOC was used to record the brain signals. Steady State Visual Evoked Potential paradigm was used to elicit the brainwaves. The paper briefly examines the colour science used, explains the development approach as well as presents pilot testing results confirming usability and effectiveness of the application.
The Government of Ireland Postgraduate Scholarship Scheme provided by the Irish Research Council supported the work presented in this paper. Facilities were provided and contributed by Institute of Technology Carlow.
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Acknowledgment
The authors would like to acknowledge the financial support of the Government of Ireland Postgraduate Scholarship Scheme provided by the Irish Research Council. Also, the authors wish to express their gratitude towards the Institute of Technology Carlow for all the facilities provided. All the MCF application code was written by ERASMUS sponsored student Thomas Pege.
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Szalowski, A., Pege, T., Picovici, D. (2019). MCF: Multi Colour Flicker iOS Application for Brain-Computer Interface Research. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Computing. SAI 2018. Advances in Intelligent Systems and Computing, vol 858. Springer, Cham. https://doi.org/10.1007/978-3-030-01174-1_54
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DOI: https://doi.org/10.1007/978-3-030-01174-1_54
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