Over the past few months we at Blueberry have been exploring how we can qualify mental exertion using our optical brain-sensing product that is built to work with an eyeglass. The eyeglass also has a camera system, allowing us to simultaneously capture what our brain is doing, and what is happening around us. In this post we explore some of the experiments we have tried with the eyeglass-based device so far.

If you are in the neurotech community we are using a low cost sensor version in the same category of advanced sensors (fNIRS) being built by Bryan Johnson at…


Below are a couple of pictures and quotes from early adopters trying out Blueberry to help them better understand their mind, body and world around them.

“I am on the computer all day and I find now when I work I am getting less headaches when I wear my BlueberryX; the BlueberryX tells me to take a break and go get a glass of water. Which makes sense and obviously not something I was doing.”

— Nadine M.


Over the millennia, humans have continued to evolve in what the mind is able to sense and understand. The amount of blood that flows into our brain has been shown to indicate how much information the mind can process [1]. Living in the age of data, we continuously measure cities, equipment, and our bodies. A next step is to measure the most important component: the mind.

Smartwatches and fitness trackers measure our body and heart, helping us improve our physical health through measurement. Similarly, we need to continuously measure the mind to advance mental fitness and mental health.


At Blueberry we want to learn how to better understand our mind through quantifying estimated mental stress and energy.

Each day we try to understand how to get the most out of it:

  • try to follow a strict schedule – this is very difficult to do
  • complete tasks by a certain time – only if the stars align
  • finish our day by x to have time for family, friends, our favourite distraction (tv, reading, sleeping, sports)

With Blueberry’s brain sensing we can start to provide specific timed suggestions based on trends in mental energy and stress.

Below is an example…


We have been estimating our mental energy and have found a few insights based on understanding the problems of:

  • Overworking our brain while working from home
  • Thinking too much when in a conversation
  • Being unable to properly understand our mental “fuel”

We have built a quiet interface (pay attention to it when you want to) to help understand in real-time your change in brain activity. We provide this through a head-up feedback LED with a continuously adjusting colour as shown below!

Estimating Mental Energy

Building upon the head-up feedback we have been attempting to understand how our mental energy state changes throughout the…


A concept we have started to explore is how our state of mind can be reflected by a colour shown.

Does our state of mind that lock-in to that colour when we are shown it later?

We noticed an interesting behaviour where we flashed out light red-white-red-white at a point where the software thought it might be a good time to take a break. This flashing in-fact caused more annoyance than positive behavioural response.

To adjust this we are exploring software color transitions or more calming color switching to provide an indication to the wearer.

For example a slow transition from blue to light blue and back again.

Originally Published: https://gitbook.blueberryx.com/statereflection


An adjacent area to fNIRS sensing is HEG or Hemoencephalography, which provides frontal lobe measurement of changes in blood flow. There are few companies exploring brain sensing devices with this including

The main pretence here is training your brain to control the amount of oxygen flowing in and out of the frontal lobe region to help build the mind as a muscle. Simple visual and interactive games have been shown to cause a positive effect here when conducted 2–3 times per week. Think of it like going to gym and conducting exercises for your mind.

The challenge here is making…


This past week we started to explore how the tinting of an electronic controlled lens paired with mental load measurement and heart rate analysis can be used as a guiding feedback loop for a person to adjust their breathing rate.

The feedback mechanism we looked at included taking a deep breathe and breathing out was tinting the glasses on and off in a fluid changing function.

The initial experiment was as follows:

  1. Wearer ran for 30 seconds to increase their heart rate
  2. Wearer then either followed the tinting feedback for when to breathe or at their own pace

We found…

John David Chibuk

Founder, building teams and products to shape the future.

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