EEG Brainwave Controlled Robotic Arm for Neurorehabilitation Training

Abstract

This study presents an EEG-based control method using AI for a robotic arm neurorehabilitation system. The system employs advanced EEG technology to capture and interpret brainwaves, utilizing AI algorithms for analysis and translation. This enables users to control the robotic arm via neural signals during neurorehabilitation training. Real-time feedback and adaptive AI ensure a personalized, interactive experience, and adjust the program based on user progress. This approach aims to enhance neurorehabilitation outcomes by promoting neuroplasticity and motor skill recovery in individuals with neurological disorders or injuries. The study’s results highlight AI’s positive impact on the system, suggesting EEG-based AI control could play a pivotal role in neurorehabilitation.