The REH-MI dataset is an EEG motor imagery (MI) dataset developed for rehabilitation-oriented research. It comprises 9,180 trials recorded using a 32-channel Emotiv EPOC Flex headset from 18 healthy, right-handed male participants across two sessions. Each trial corresponds to one of four right-hand conditions: imagined finger movement, wrist movement, elbow flexion, or rest, totaling 510 trials per subject.
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.
The project involves:
