With the aid of a virtual reality model, researchers from the Knappschaftskrankenhaus Bochum have examined, which errors can occur during the communication between the brain and robotic prosthesis.
Brain-computer interfaces “read” the electrical brain activity of a patient, translate it into technical control signals for devices and machines and stimulate someone’s muscles. We cover the application of thought-controlled neuroprosthetics and various other innovations for patients with paraplegia, stroke or locked-in syndrome.
Scientists have used an implanted sensor to record the brain signals associated with handwriting, and used those signals to create text on a computer in real time.
Neurolutions IpsiHand exoskeleton uniquely leverages brain-computer interface technology for chronic stroke rehabilitation
BrainGate researchers demonstrated the first human use of a wireless transmitter capable of delivering high-bandwidth neural signals.
Researchers have succeeded in making an AI understand our subjective notions of what makes faces attractive.
Researchers have developed a system that combines a brain-computer interface and a robotic arm that responds to the actual intentions of treated patients.
Researchers have enabled a quadriplegic man to control a pair of prosthetic arms with his mind.
More researchers and companies are moving into the brain-computer interfaces, yet major challenges remain, from user training to the reality of invasive brain implant procedures.
Linking the human brain to a computer is usually only seen in science fiction, but now scientists have harnessed the power of 3D printing to bring the technology one step closer to reality.
Researchers have developed a revolutionary cortical vision device that could one day help restore vision to the blind.
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.