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A Transformer-based neural network that decodes movement intentions in real time from EEG, EMG, and IMU signals. It classifies intended actions and sends control signals to external actuators, such as robotic arms or electrical muscle stimulation systems.
Souce code for real-time acquisition of EEG signals from the Biosemi Active Two device, EMG signals from the Delsys Bagnoly device, and Motion tracker position signals from the Polhemus Liberty device.
?? EMG-controlled car using muscle electrical signals - real-time electromyography signal acquisition, RMS processing, and muscle-computer interface for bio-inspired control!
Low-level EMG robotic arm controller written in pure C/ASM signal capture, filtering, and actuation from memory addresses up. Built to make devs say “, this works?!”