This past week, I made a lot of progress on the data collection side, and was able to take the hardware system I had been working on the past couple of weeks and record data on it. To start off, I recorded data from a single electrode, as was seen in the previous update, and used that for our first integration test. This way, we were able to confirm that our communication protocols were working smoothly and in real time, such that the game could be played. Using Kayla’s experimental setup, I also recorded data from an array of five electrodes spread across three different muscles on the arm. Here is a sample of wrist flexation data recorded over a 300 ms interval.

Because of this, we are caught up to where we should be and back on schedule. Next week, I will begin putting together the machine learning algorithm that we will use to classify this data, as well as collecting more on different test subjects, to make the data more generalizable to the population.

In this video you can see an early version of the setup on my arm along with some muscle movements.