Look, Learn, Ask, Try: Geran, Kyle & Terrence

This one was a little weird for us because our application spans across several paradigms so it was hard to scope exactly who we were going to study and ask questions about.  However Brint Carlson, a personal friend of mine, is currently a tank engineer in ROTC here at ASU and since he was an easy point of contact I went ahead and brought the idea up to him.

Look: I observed him doing some training out in the desert, this time in particular it was medical.  I was granted permission since it was a school project however I was not allowed to take any photos or video because it’s the military so they weren’t super stoked about that.  However the exercise was to discover fellow soldiers in need, asses their issue and respond accordingly.

Ask: I asked them what typical things happen ‘in the field’ and how does one go about helping them?  They responded that most often there are a team of medics and they are usually the only ones qualified to handle said situations.  Not many people are equipped with the tools or expertise to asses a soldier in need.

Learn: I learned that one of the biggest problems is communication and that it is hard to find the people in need or when they do locate them, they realize they didn’t have the necessary equipment for the task at hand and thus they need to go back to camp and grab the gear which can sometimes take too long, resulting in a fatality. We couldn’t exactly ‘try’ this activity of course but we can speculate that if we have some kind of equipment to alert local medics about the condition of a soldier it could save a lot of time locating them and bringing the correct equipment for the job.

Try: As far as ‘trying’ goes, I have started to implement a machine learning aspect to the eeg helmet that can try an categorize different conditions of the brain.  eMotiv actually has a large database that you can subscribe to that will show you common data structures for different things like seizures, massive sudden pain trauma, elevated endorphins etc.  So at some point I would like to train some data sets and see if I can detect matches to different scenarios and situations.  Of course I don’t want to fake a seizure or something so the scenarios will have to be more mild like being happy or sad or frightened.


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