Skip to main content
  1. Home
  2. Emerging Tech
  3. News

Mind-controlled robotic arm lets users wiggle individual fingers with just a thought

Add as a preferred source on Google

The field of prosthetics has made great progress through collaborations of technology, medicine, science, and design. But until now, most functional prosthetic hands have been limited to a grabbing motion that moves all the fingers together. That might soon change, though. Engineers at Johns Hopkins have completed a successful prototype that lets the user wiggle each prosthetic finger independently, using nothing but the power of his mind.

To make this possible, the physicians and engineers on the Johns Hopkins team first selected an epilepsy patient who was already scheduled for brain mapping surgery. While neurosurgeons looked to identify the origin of the patient’s seizures, operators placed a piece of film the size of a credit card on the part of the brain that typically controls movement of the arms and hands. An array of 128 electrodes on the film allowed scientists to see which parts of the patient’s brain were engaged when they asked him to move each individual finger one by one.

Recommended Videos

Having identified the specific parts of the brain that controlled each finger’s movement, the scientists also worked to understand the electrical brain activity required to experience the sensation of touch. The patient was then asked to wear a glove fitted with a small buzzer in each fingertip, and scientists were able to measure the corresponding electrical activity in the brain when each fingertip buzzer was activated.

All of this data contributed to the computing-based elements of the prosthetic. The team programmed the prosthetic arm to move each finger in response to electrical activity in the corresponding part of the brain. That way, the wearer merely had to think of the specific finger in order to make it move. Each finger was programmed separately, except for the ring finger and pinkie finger (which most people move in tandem anyway). Overall, the mind-controlled prosthetic has already attained 88 percent accuracy.

It’s a big achievement, not doubt — but scientists on the project are aware that a successful application of this prototype for someone who has actually lost a limb is a long way off. The research and testing required will be time-consuming and costly, but once accomplished, could make an enormous difference to people living without hands or arms.

Chloe Olewitz
Former Digital Trends Contributor
Chloe is a writer from New York with a passion for technology, travel, and playing devil's advocate. You can find out more…
The AI game-dev boom has a dark side: fewer jobs for the people starting out
Solo creators are thriving with tools like Claude Code and Copilot, but entry-level game roles are disappearing.
Man playing a video game on a desktop with glowing red and blue lights

AI is making it easier than ever for a single person to build a game. That sounds like a win for creativity, and in many ways, it absolutely is. But there is a catch. As generative AI tools help solo developers and small studios do more with fewer people, the same shift is making life tougher for writers, artists, concept creators, and junior programmers trying to break into the gaming industry.

AI is giving solo developers superpowers

Read more
A new AI model wants self-driving cars to think before they swerve
Forget guessing games, this self-driving AI actually shows its work.
Self driving car

Self-driving cars have gotten pretty good at driving. The harder problem is teaching them to drive safely in situations nobody planned for. We have heard horror stories of self-driving cars, behaving erratically in emergency situations, often times delaying first responders from reaching the scene.

A team at Seoul National University, led by professor Jun Won Choi from the Department of Electrical and Computer Engineering, thinks they have cracked part of that puzzle with a new AI model called SafeDrive. The research was recently selected as a highlight paper at CVPR 2026, a distinction that goes only to roughly 3% of all submissions.

Read more
An AirPods-sized mini lab could help catch disease markers in minutes
Meet VPodDuo, an AirPods-sized molecular testing gadget
VPodDuo Mini Medical Device

Home testing could eventually become a lot more convenient. Researchs at the at the University of Illinois Urbana-Champaign has developed the VPodDuo, a pocket-sized fluorescence reader designed to measure sensitive molecular tests outside a conventional laboratory.

Its housing is roughly comparable in size and shape to an AirPods charging case, while Bluetooth connectivity sends results directly to a smartphone. Meaning, you might not have to wait in line anymore.

Read more