Ever wonder what it would be like if a device could decode your thoughts into actual speech or written words? While this might enhance the capabilities of already existing speech interfaces with devices, it could be a potential game-changer for those with speech pathologies, and even more so for “locked-in” patients who lack any speech or motor function.
The first computers cost millions of dollars and were locked inside rooms equipped with special electrical circuits and air conditioning.
The only people who could use them had been trained to write programs in that specific computer’s language.
Today, gesture-based interactions, using multitouch pads and touchscreens, and exploration of virtual 3D spaces allow us to interact with digital devices in ways very similar to how we interact with physical objects.
In the winter of 2004, 28-year-old Nathan Copeland suffered an accident that left him unable to feel any sensation in his arms and fingers. But a decade later, he has now been able to regain his sense of touch through a mind-controlled robotic arm that is directly connected to his brain.
As the power technology grows alongside the abilities of human brain, humans are inching closer to being able to control one’s environment through thoughts. Transmitting signals to someone’s brain directly enabling them to see, hear, or feel specific sensory inputs had been in the realm of science fiction until recently. However, the latest advances in technology have made this possible in real. Brain computer interface (BCI) is thus developed to help severely disabled people effectively communicate information, operate their assistive devices with external help, and manipulate objects.
In the CNS lab (UNT), brain-computer interfaces (BCIs; click here for example) allow for communication between a user’s brain and a given simulation (e.g., virtual worlds; adaptive virtual environments; video games). The BCIs are being applied in rehabilitation/training, neuropsychological assessment, and social cognitive neuroscience projects. Existing research in BCI applications includes two primary areas:
We hope you’ve been enjoying the warm Summer weather! As the season comes to an end, we want to update you on the latest news concerning OpenBCI. We have been working all Summer in some cool projects we wish to share with you! In addition, we made great developments in the design of both the Ganglion and the Mark IV. Due to the many things that came our way this Summer we have to delay the release date of the Ganglion and the Mark IV until November. You can read more about this below.
Background: Brain–computer interface (BCI) devices are being investigated for their application in stroke rehabilitation, but little is known about how structural changes in the motor system relate to behavioral measures with the use of these systems.
Objective: This study examined relationships among diffusion tensor imaging (DTI)-derived metrics and with behavioral changes in stroke patients with and without BCI training.
Future neuroprosthetics will be tightly coupled with the user in such a way that the resulting system can replace and restore impaired upper limb functions because controlled by the same neural signals than their natural counterparts. However, robust and natural interaction of subjects with sophisticated prostheses over long periods of time remains a major challenge. To tackle this challenge we can get inspiration from natural motor control, where goal-directed behavior is dynamically modulated by perceptual feedback resulting from executed actions.
Current brain-machine interfaces (BMI) partly emulate human motor control as they decode cortical correlates of movement parameters –from onset of a movement to directions to instantaneous velocity– in order to generate the sequence of movements for the neuroprosthesis.
International researchers are reporting that they have built the first human-to-human brain-to-brain interface, allowing two humans — separated by the internet — to consciously communicate with each other, with no additional sensory cues. One researcher, attached to a brain-computer interface (BCI) in India, successfully sent words into the brain of another researcher in France, who was wearing a computer-to-brain interface (CBI).