This week, Kat did the processing for the Raspberry Pi Pico to receive analog information and send it to the machine learning model. Nia generated a synthetic dataset that she ran the neural network with. Teadora tested the flex sensors and will be continuing to evaluate them and the IMU with the Raspberry Pi Pico this upcoming week.
This week we will make sure we can receive the analog signals properly from the IMU and flex sensors. We will also continue working on the machine learning model and optimize it for the types of data we will be using. We also will complete our work on the data organization such as how the data goes from when it first arrives to on the computer to the machine learning model.