Feed-forward neural networks improve speed and provide more accurate control of brain-controlled prosthetic hands and fingers.
Researchers have developed a new, fully automated prosthetic arm that learns during normal use and adapts to varying conditions.
An innovative new clinical trial seeks to explore how the brain adapts to bionic arms in children born without limbs. The study aims to improve prosthetics mastery in children.
Researchers have developed a novel hybrid machine learning approach to muscle gesture recognition in prosthetic arms.
A newly designed bionic eye is safe and stable for long-term implantation, researchers conclude following a three-month study in sheep. The discovery paves the way for human trials of the bionic device.
A newly developed bionic arm combines motor control with touch and hand movement sensations, allowing those with upper-arm amputations to behave and react as though they haven't lost their limb.
Using magnetic beads implanted into muscle tissue within the amputated residuum of animals, researchers have created a more precise way to control prosthetic limbs.
MIT researchers have developed a new, lightweight robotic hand that provides tactile feedback and is dexterous enough to perform tasks like zipping a suitcase and pouring juice.
Using virtual reality technology, researchers found the faulty alignment of prosthetics resulted in a measurable loss in performance for users.
Adding a BCI that evokes tactile sensations makes it easier for users to manipulate and use robotic arm prosthetics.
A newly developed robotic thumb imprints how the hand is represented in the brain. Using the robotic thumb, researchers reported improvements in conducting dexterity tasks, such as building with blocks. Additionally, those who trained to use the additional thumb began to feel as though the digit was a part of their body.
Reconnecting muscle pairs during surgery following amputation provides patients more sensory feedback from the limb, researchers report.
