This week our team presented a demo of our project to our TA and professor. The main components of the project that we demonstrated were the relatively complete subsystems of the hardware EMG data collection and the software system visuals of the game. The final subsystem of the project that is in progress is the signal classifier. We got feedback from Dr. Yu that we can generate simulated signal data in order to verify the functionality of our classifier without the complications of noise. Major accomplishments this week were that Tarana worked on generating this simulated data, Alex advanced the complexity of the game by incorporating animation, running on top of buildings, and coins, and Kayla worked on reducing dimensionality in the data and preliminary classification methods for the data.

There were not any significant risks that could jeopardize the success of the project taken this week, but each team member is working cohesively in order to complete our desired project by our internal deadline of Thanksgiving. It would have been preferred to have a classification accuracy calculated by this point in the project, but work is being put in by team members to continue progressing this effort forward.

One change made to the classification system design is that we will now be incorporating simulated data to help train and verify our classification approach. This was necessary in order to have a set of source of truth data to ensure the validity of our model. The signal processing portion of our project is a bit behind schedule, but this will be made up in the slack time prior to Thanksgiving. The rest of the major highlights of our project such as Integration Test #3 continue to be on track.