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Software for Application Control via Brain-computer Interface

Student: Vladislav Orlov

Supervisor: Alexey Ossadtchi

Faculty: Faculty of Computer Science

Educational Programme: Software Engineering (Bachelor)

Final Grade: 9

Year of Graduation: 2017

People have discussed that electroencephalographic activity or other electrophysiological measures of brain function might provide a new non-muscular channel for sending messages and commands to the external world – a brain–computer interface (BCI). In this paper we describe a software that provides access to decoded brain commands for external apps. The goal of the software is to create scientist community near BCI problems. We use one server for signal processing that decodes human commands from the brain data. An app to interact with the user receives these commands by the network. As the result, we have the platform with high decoding thoughts performance that allows people over the world share their experience in device control by mind.

Full text (added May 29, 2017)

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