Retrofitting wireless earbuds to detect neural signals and relaying the data back to smartphones via Bluetooth, researchers say the new earEEG system could have multiple applications, including health monitoring.
"Neurograins" brain-computer interfaces independently record electrical impulses and send signals wirelessly to a central hub that coordinates and processes the signals.
A new brain-machine interface allows wearers to wirelessly control a wheelchair or robotic arm by simply imagining an action. The neuroprosthesis could help improve the quality of life for those with disabilities.
A new study warns of potential social, ethical, and legal consequences of brain-machine interfaces and other technologies that interact with the human brain.
Adding a BCI that evokes tactile sensations makes it easier for users to manipulate and use robotic arm prosthetics.
A new brain-computer interface could help thousands of people with neurodegenerative disorders and spinal cord injuries the ability to regain communication skills. The BCI, in combination with a machine learning algorithm, can generate words on a screen, based on a person thinking about writing the word.
The BrainGate brain-machine interface is able to transmit signals from a single neuron resolution with full broadband fidelity without physically tethering the user to a decoding system.
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A closed-loop system combining AI, robotics, and BCI technology allows a quadriplegic man to control movements to cut food and feed himself.
A newly developed simultaneous brain-machine interface allowed a quadriplegic man to control two prosthetic arms with the power of his mind.
Eight sessions of mindfulness-based awareness training give participants a significant edge in their ability to control brain-computer interfaces and the time it took to achieve proficiency over those who did not experience meditation training.
Combining EEG brain function data, brain-computer interface technology, and artificial intelligence, researchers have created a system that can generate an image of what a person is thinking.
Combining machine learning with neuroprosthetic technology allowed a patient with paralysis to learn to control a computer cursor by utilizing brain activity without extensive daily retraining.
