Prosthetic Control; BCI (Brain-Computer Interface); Neurorehabilitation; Machine Learning; Motor Imagery; EEG (Electroencephalography);

Developing mind-controlled prosthetics that seamlessly integrate with the human nervous system is a significant challenge in the field of bioengineering. This project investigates the use of labelled brainwave patterns to control a bionic arm equipped with a sense of touch. The core objective is to establish a communication channel between the brain and the artificial limb, enabling intuitive and natural control while incorporating sensory feedback.

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