Browsing Category: BCI

Miguel Nicolelis has developed a non-invasive system for lower-limb neurorehabilitation. Study subjects wore an EEG headset  to record brain activity and detect movement intention. Eight electrodes were attached to each leg, stimulating muscles involved in walking.  After training, patients used their own brain activity to send electric impulses to their leg muscles, imposing a physiological gait. With […]

Edward Chang and UCSF colleagues are developing technology that will translate signals from the brain into synthetic speech.  The research team believes that the sounds would be nearly as sharp and normal as a real person’s voice. Sounds made by the human lips, jaw, tongue and larynx would be simulated. The goal is a communication method for […]

The BrainGate/Brown/Stanford/MGH/VA consortium has published a study describing three teraplegic patients who were able to control an off the shelf tablet with their thoughts. They surfed the web, checked the weather and shopped online. A musician played part of Beethoven’s “Ode to Joy” on a digital piano interface. The BrainGate BCI included a small implant that […]

Samsung and EPFL researchers, including Ricardo Chavarriaga, are developing Project Pontis, a BCI system meant to allow the disabled to control a TV with their thoughts. The prototype uses a 64 sensor headset plus eye tracking to determine when a user has selected a particular movie. Machine learning is used to build a profile of […]

Rajesh Rao and University of Washington colleagues have developed BrainNet, a non-invasive direct brain-to-brain interface for multiple people.  The goal is a social network of human brains for problem solving. The interface combines EEG to record brain signals and TMS to deliver information to the brain, enabling 3 people to collaborate via direct brain-to-brain communication. […]