Abstract
This paper describes the hardware and software system to connect the brain-computer interface system and the virtual reality environment. The software package includes a virtual reality game application, which control is paired with the performance of mental equivalents of real movements. The motivational component of the technique is based on a game interface in a virtual reality environment. The combination of software package and virtual reality contributes to deep immersion of the user in the process of ideomotor training. A neural network classifier, which was trained and tested using publicly available data, was implemented to solve the problem of recognition and classification of mental ideomotor commands.
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Funding
This work was supported financially by the Russian Science Foundation Grant No. 20-19-00627: “Development of a stimulus-independent Brain-Computer Interface Model for Rehabilitation of People with Disabilities”.
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Shepelev, D.I., Saevsky, A.I., Shepelev, I.E., Shaposhnikov, D.G., Lazurenko, D.M. (2023). A Software System for Training Motor Imagery in Virtual Reality. In: Kryzhanovsky, B., Dunin-Barkowski, W., Redko, V., Tiumentsev, Y. (eds) Advances in Neural Computation, Machine Learning, and Cognitive Research VI. NEUROINFORMATICS 2022. Studies in Computational Intelligence, vol 1064. Springer, Cham. https://doi.org/10.1007/978-3-031-19032-2_9
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DOI: https://doi.org/10.1007/978-3-031-19032-2_9
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