This week I have been focusing on two things, first is reading the research paper to help find extra classification parameters to feed into our ML classification model for Jonathan. I have found a couple of potential features/ parameters from our data that we can extract the details can be found here: https://docs.google.com/document/d/1DWQb7xx60W7LE4RCIq6Q3eSEznv9ImYWsoFrphL3Hy8/edit?usp=sharing
In the ideas column are what I had asked Jonathan to implement. We tried the kurtosis one for this week and will move on to trying FFT features next week. The result that Jonathan said was that the kurtosis brought our accuracy up. I will try out more features in this upcoming week/the week after. The other part was that since I got pyfirmata to work out, I had been implementing the bluetooth transfers and some calibration for EMG. I hope to get this ready by next week. Since there are multiple components that I am in charge of, I think I am on track for everything except for FFT which Jonathan and I planned to do after the Demo.