BrainCo Interview / Presentation at CES 2019

In this talk

1. 0:10

   Brain controlled games

   Rinku explains that BrainCo’s Focus Headband detects brain signals and uses an algorithm to estimate attention on a scale from zero to 100. Higher attention makes a video game car go faster. A slot car setup applies the same idea to head-to-head play.

2. 3:26

   Focus training for students

   BrainCo’s Focus EDU system uses brain-machine interface technology to measure student engagement. It includes guided meditations and games that use neurofeedback to help students practice focus and relaxation. In a rocket game, participants try different techniques, such as mental math, to raise the rocket.

3. 6:30

   Classroom feedback and reports

   The presenter says students can use a short focus exercise before class, which BrainCo calls brain priming, and says some tests showed better performance afterward. Teachers can view class averages and individual engagement data, then adjust lessons; for example, they might add more group discussions when a student engages more during those activities.

4. 11:27

   Reading the brain data

   The representative describes attention as a proportion of alpha, beta, and theta brain waves. A sample report shows attention over time and compares a student’s activity with the class average. BrainCo also uses synchronization with the class to help distinguish engagement with course content from concentrated daydreaming.

5. 7:42

   Relaxation and next steps

   In a breathing exercise, participants close their eyes and take deep breaths; the presenter says their measured brain activity dropped as they relaxed. Rinku says BrainCo was considering school, museum, and retail uses for the game products, and directs educators to BrainCo.tech.