#engroadmapupdate

So, other than needfinding, what else has Emoti been upto in the past few weeks? Well, the truth is, we’ve been hard at work coding up our demo, which is something we talked about in the last few weeks. So, as a refresher, our eng roadmap is broken down in three parts: 1) ML classifier for emotions 2) Unreal Engine plugin so that the VR simulation can grab physiological data from sensors 3) VR demo itself that plays video and shows the weather changing due to changing physiological state of the user. 

re: 1, we’ve been having some trouble getting the linear regression to work. We’ve tried SKLearn library in which we threw a bunch of ML models and saw how it worked, but unfortunately that hasn’t yielded the most positive results. However, we’re trying to filter out our data and see if by simplifying the problem (esp after talking with some grad students that have done similar research) we can simplify the problem from dealing with a continuous scale of valence-arousal scale to focusing on predicting a single emotion (thereby making it discrete). We’re working on the modeling right now, and if that doesn’t work, we’re going to recollect our data but only focus on sadness/excited emotions. 

re: 2, we’re stuck because the Empatica wristband that has an API that plays nicely is stuck in Italy. Therefore, for the purposes of the demo, we might have to do something janky, like using an app to record people’s physiological signs and connecting the app to unreal. TBD.