Open Source Simulator of a Control System Based on EEG Signals

Brain-computer interfaces (BCIs) are systems that enable communication between a brain and a computer. They have a particularly significant impact on individuals with motor impairments, as they allow users to control devices without physical movement, thereby enhancing their independence and quality of life. Despite their potential, the cost of the devices and licenses required for their development is high. This paper presents the results of a work aimed at developing an open-source BCI simulator that would use the user's eye state to interact with other gadgets. The application eases the testing of various classification algorithms, optimizes hyperparameters and sends messages to external devices. Furthermore, it is a valuable educational tool that can be used in academic settings related to signal processing, machine learning and neural engineering.