B-Alert X-Series with NeuroBridge™ 2.0

B-Alert X-Series with NeuroBridge™ 2.0 2017-11-15T12:06:11-08:00

Project Description

Responsive Virtual Reality Environments

Available through: Intific, Inc.

Neurobridge Diagram

Advanced Brain Monitoring and Intific, Inc.™ were recently invited to introduce their latest collaboration, NeuroStorm at the Google I/O Developers Conference in San Francisco. A result of two ongoing Defense Advanced Research Projects Agency (DARPA) efforts, the capabilities needed for the simple yet powerful NeuroStorm game were achieved through precision syncing of B-Alert wireless-EEG systems’ outputs with the game environment through Intific’s Neurobridge 2.0 software. This represents a new platform for future BCI research allowing educational, industrial and defense sector developers to build complex real-time neuro-adaptive scenarios, experiences and games. The NeuroStorm game itself was a rapid-prototype for dynamic, brain-in-the-loop games demonstrating what can be achieved quickly in neuroscience applications.

Google Co-Founder Sergey Brin tries out Neurostorm Brain-Controlled Game

Before the Google I/O After Hours Party began, Google Co-Founder Sergey Brin stopped by to try NeuroStorm for himself. Brin experienced the immediate responsiveness of the real-time neuroadaptive shooter-on-rails as individualized concentration metrics immediately impacted game speed and difficulty. Google’s invitation to participate in the conference was a demonstration of the growing interest in neurotechnologies by non-neuroscientists, consumer-minded developers and the general public at large. The debut proved to be a popular showcase where over 130+ enthusiastic game developers and party goers got to play, compete and learn how well they can control their physiology when it counts.

Distinguishing this BCI from others were the scientifically validated concentration metrics driving the EEG recognition software. Chris Berka and the Advanced Brain Monitoring research team studied the cognition of over 300 subjects to identify the psychophysiological parameters most correlated with peak performance. They then developed a closed-loop, real-time EEG/ECG recognition algorithm that was implemented in the NeuroStorm game and elsewhere. The findings from those developmental studies were recently published in The International Journal of Sports & Society and set the stage for future application possibilities.

Project Details