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bioRxiv · 10.1101/2022.01.29.478203

Development of an Ultra Low-Cost SSVEP-based BCI Device for Real-Time On-Device Decoding

Teversham, J.·Wong, S.·Hsieh, B.·Rapeaux, A.·Troiani, F.·Savolainen, O.·Zhang, Z.·Maslik, M.·Constandinou, T.
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Abstract

This study details the development of a novel, approx. {pound}20 electroencephalogram (EEG)-based brain-computer interface (BCI) intended to offer a financially and operationally accessible device that can be deployed on a mass scale to facilitate education and public engagement in the domain of EEG sensing and neurotechnologies. Real-time decoding of steady-state visual evoked potentials (SSVEPs) is achieved using variations of the widely-used canonical correlation analysis (CCA) algorithm: multi-set CCA and generalised CCA. All BCI functionality is executed on board an inexpensive ESP32 microcontroller. SSVEP decoding accuracy of 95.56 {+/-} 3.74% with an ITR of 102 bits/min was achieved with modest calibration.

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Teversham, J., Wong, S., Hsieh, B., Rapeaux, A., Troiani, F., Savolainen, O., Zhang, Z., Maslik, M., Constandinou, T.. 2022-01-29. Development of an Ultra Low-Cost SSVEP-based BCI Device for Real-Time On-Device Decoding. https://doi.org/10.1101/2022.01.29.478203

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