Control Of Prosthetic Limbs From Decoded Brain Signals

Grant number: 1148005 | Funding period: 2018 - 2022

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Abstract

This research will restore mobility to patients who suffer from paralysis. We aim to create a device, known as a brain-machine interface, which is an artificial communication path from the brain that bypasses an injury, such as a damaged spinal cord or stroke. The interface will decode a user’s intent and act upon it. Decoders will use physiological principals and state-of-the-art machine learning methods. We will test a user’s ability to control an artificial limb using decoded brain activity.

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