This week, our team was able to start some testing in the form of integrating the frontend interface with backend data processing/modeling interface to get real-time predictions and UI output based on whether or not a user blinked. Our bare minimum MVP is in reach, however, we need to refine the frontend to have more functionality and speed up the backend to decrease the latency of reacting to user input. These will be goals for this coming week as we refine the basic interface.
We tried experimenting and observing different results for different conditions of the EMG pads to see what would give us the optimal stable baseline. Since the pad can be left on the user’s body for up to five days, we have observed that sticking the pad and leaving it on for ~10 mins gives a pretty stable result. However, after a couple of days the EMG baseline is not grounded perfectly to 0, but still shows a satisfying result. Thus, we think of having a calibration for the user for everytime they use the product, which should take shorty(few minutes) to get the baseline. Our next step is to first integrate the EMG data with the front/backend program (through serial communication) and then we will move on to integrating the Bluetooth modules with the EMG sensor and Arduino to allow wireless connection. We thought that we are on track so far, we got the main parts working, and will now focus on the features implementation and optimizing the accuracy.