Researchers have shown that machine learning techniques helped an individual with paralysis learn to control a computer cursor using their brain activity.
Machine learning will drastically improve brain-computer interfaces and their ability to remain stabilized during use, greatly reducing or potentially eliminating the need to recalibrate these devices.
New prosthetic technologies that stimulate the nerves could pave the way for prostheses that feel like a natural part of the body and reduce the phantom limb pain commonly endured by amputees.
A 4-limb robotic system controlled by brain signals helped a tetraplegic man to move his arms and walk using a ceiling-mounted harness for balance.
Combining new wearable electronics and a deep learning algorithm could help disabled people wirelessly interact with a computer.
Scientists have successfully tested neuroprosthetic technology that combines robotic control with users’ voluntary control, opening avenues in the new interdisciplinary field of shared control for neuroprosthetic technologies.
Machine enhanced humans – or cyborgs as they are known in science fiction – could be one step closer to becoming a reality.
Researchers show that by using a noninvasive brain-computer interface they could control a robotic arm that’s tracking a cursor on a computer screen.
A state-of-the-art brain-machine interface created by UC San Francisco neuroscientists can generate natural-sounding synthetic speech by using brain activity to control a virtual vocal tract – an anatomically detailed computer simulation including the lips, jaw, tongue and larynx.
Researchers have shown that they can use online neurofeedback to modify an individual's arousal state to improve performance in a demanding sensory motor task.
Research from the BrainGate consortium shows that a brain-computer interface (BCI) can enable people with paralysis to directly operate an off-the-shelf tablet device just by thinking about making cursor movements and clicks.
An engineer is leading a team of researchers, health care providers and industry to fast-track the commercialization of a groundbreaking robotic rehabilitation system.
Getting a better grip on things: The MoreGrasp Horizon2020 research project is coming to an end with significant results in the field of thought-controlled grasp neuroprosthetics. A large-scale feasibility study is underway.