Rohan’s Status Report for 2/24

This week I secured the EEG EmotivPRO subscription which has been blocking our progress on EEG-based focus state detection. With the subscription, we can now build out the data labeling platform for Professor Dueck and being implementing some basic detection model which takes in the EmotivPRO performance metrics and outputs a focus state, either focused, distracted, or neutral. I was able to collect some initial readings wearing the headset myself while working at home. I began familiarizing myself with the Emotiv API, connected to the headset via python code, and collected performance metric data from the headset. I am currently encountering an error when trying to download the performance metric data from the headset to a CSV on my laptop, which I suspect is some sort of issue with the way the license is configured or from not properly passing in credentials somewhere in the script. I also spent a significant amount of time working on the design report which is due next week. Finally, I began researching what kinds of detection models would lend themselves to our EEG-based focus level detection and settled in on a 1D (time series tailored) Convolutional Neural Network which I will begin experimenting with as soon as we finalize our data collection platform and we have determined what format we will be reading in the data. Overall, my progress is still on schedule. Looking forward to next week, I plan to implement the data collection platform with Arnav, do some further CNN research/testing, and finalize our design report for submission.