Algorithm may improve brain-controlled prostheses and exoskeletons

A team of researchers at the MIT Media Lab has devised an algorithm that promises to vastly improve the simultaneous tracking of any number of magnets. This has significant implications for prostheses, augmented reality, robotics, and other fields.

Frontiers EEG-Based BCI Control Schemes for Lower-Limb Assistive

Control strategies used in lower limb exoskeletons for gait

Block diagram of the proposed method to control prosthetics hands

Chestek lab

Mind-controlled exoskeleton allows paralysed patient to move again

Mind-controlled robotic arm has skill and speed of human limb

Mind-Controlled Technology Extends Beyond Exoskeletons

Systematic Review on Wearable Lower Extremity Robotic Exoskeletons

An exoskeleton controlled by an epidural wireless brain–machine

Magnets Could Improve Control of Prosthetic Limbs