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The UniPA BCI Framework is an Augmented Brain-Computer Interface framework based on the P300 paradigm with further additional modules to perform the acquisition of eye gaze and physiological features.
The human will use BCI to participate in the multi-robot strategy selection and control a single-robot at any time. For this purpose, a specific simulation system has been developed, which composed of: a non-invasive BCI Emotiv Epoc; a Graphical User Interface (GUI) based on QT; a multi-robot simulation environment based on Gazebo (open-source 3…
AURA is an ML-driven advanced EEG-based Brain-Computer Interface leveraging ESP32, ADS1299, and ML for real-time mental-state mapping and early disease prediction. Achieving 93% accuracy, it pioneers assistive tech for non-verbal communication and IoT integration.