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arXiv · 1812.05945

EEG-based Communication with a Predictive Text Algorithm

Daniel Omeiza·Kayode Sakariyah Adewole·Daniel Nkemelu
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Abstract

Several changes occur in the brain in response to voluntary and involuntary activities performed by a person. The ability to retrieve data from the brain within a time space provides a basis for in-depth analyses that offer insight on what changes occur in the brain during its decision-making processes. In this work, we present the technical description and software implementation of an electroencephalographic (EEG) based communication system. We read EEG data in real-time with which we compute the likelihood that a voluntary eye blink has been made by a person and use the decision to trigger buttons on a user interface in order to produce text. Relevant texts are suggested using a modification of the T9 algorithm. Our results indicate that EEG-based technology can be effectively applied in facilitating speech for people with severe speech and muscular disabilities, providing a foundation for future work in the area.

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Daniel Omeiza, Kayode Sakariyah Adewole, Daniel Nkemelu. 2018-12-14. EEG-based Communication with a Predictive Text Algorithm. https://arxiv.org/abs/1812.05945

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