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One Year at OpenBCI!

I can’t believe it’s been a year since I started working at OpenBCI!

Six years ago, I had to choose between pursuing engineering or psychology as a career path. While taking classes as an engineering student, I couldn’t help but devour psychology books in my free time. I fell in love with building intelligent systems that mimic the way our brain processes information, but how can we do that if we are just beginning to understand this incredibly complex organ that makes us who we are! 

I finally found my place at the intersection of psychology and engineering, leading the neuro revolution with the incredible team at OpenBCI.

Turning Science Fiction Into Science

One of the first things that caught my eye about OpenBCI was their motto: Turning Science Fiction into Science.

As a kid, I wanted to be a magician, and I spent countless hours perfecting my tricks. I dreamt of creating experiences to make people feel like they were in a world where anything was possible. The joy people experience when they watch a trick only magic can explain for them is priceless to me. Of course, as the one performing the trick, you know it’s all based on logic and science.

As I grew up, I found myself having less time to learn tricks, and letting go of my dream to be a magician. I became interested in technology and pursued an engineering degree. When I first learnt about Brain-Computer Interfaces (BCIs) and started building devices with them, such as NeuroSpin, I could see the same joy in people’s faces as when they watched my magic tricks as a kid. “Are you really moving that with your brain? Is this magic?”, they’d ask.

Right now, biosensing technology allows us to move objects with our mind, track our concentration and relaxation through brainwave analysis, spell messages with our eyes, and many other crazy things. However, we’re yet to merge all these powerful tools into a fully-immersive experience where you have endless possibilities. This is where Galea comes in.

Earlier this year, at OpenBCI, we announced our latest product: Galea. Galea is a hardware and software platform that merges next-generation biometrics with mixed reality. It’s the first device that integrates EEG, EMG, EDA, PPG, and eye-tracking into a single headset. The Galea hardware will be integrated into existing AR and VR head-mounted displays and will include SDKs for bringing rich and tightly time-locked biometric data into 3D development engines, 3rd-party applications, and all common programming languages. 

Galea opens up a world of possibilities for researchers, developers, and creators to understand and augment the human mind and body. Even though I haven’t become a magician in the traditional way, being part of the team behind Galea has allowed me to pursue my dream of creating experiences where anything is possible. It’s science, but it feels like magic.

To learn more about how to get your hands on a Galea unit, visit galea.co!

Starting my Journey with OpenBCI

Excited to start my journey with OpenBCI today as a Computer Engineering Intern!

OpenBCI is an open source neurotechnology company with the mission to accelerate the ethical innovation of human-computer interface technologies. From the moment I discovered the neurotech field I knew I wanted to work for a company with such a powerful mission and community.

Glad to get the opportunity to make an impact in a field offering endless opportunities for innovation!

I finally implemented SLAM from scratch!

Since I started getting into the field of robotics and autonomous systems, I’ve heard of the term SLAM many times. SLAM in robotics stands for Simultaneous Localization and Mapping, and it consists of a set of algorithms to construct and constantly update the map of an environment that is unknown to the robot while tracking the robot’s position within that map.

To understand how it works, I am coding it from scratch. I got the algorithm working, but it is quite slow at the moment. This makes sense because I’m using a fine resolution of 0.05 meters. The next step is to optimize it to be faster and more accurate. Check the picture above for a sneak peak of the results I’m getting at the moment using SLAM with a Particle Filter (PF) of N = 50 particles, and stay tuned for the final results of the project!