This week, I continued work with Cora on integration of the sensors with the browser as well as creating data to help visualize and test our project in the future. I was able to hook up the seat pad to a seat and have a friend demonstrate different types of posture (baseline, front/back/side lean).
More specifically, I first worked on making a more permanent wire solution for the seat module. Since the wires from last week were all over the place, I have broken them apart and taped them in such a way to prevent any open wire, as well as ensure that they do not fall out when the chair is in use.
After that, I calibrated the sensors themselves. I have changed the sensor positions from their first iteration to a different configuration: 
On the left is the before, and on the right is the after. This new configuration better takes into account how the shifts in weight are mainly seen in the outside of the chair, and uses that in order to make the necessary calculations.
Furthermore, I began working on a visualization tool that we will use for both the interim demo and for data collection in order to meet the testing requirements of the design. This includes plotting over the past 10 minutes the data we are getting from each of the 16 sensors coming through to the PI. This information will be used in order to demonstrate what we are doing with the data from the chair sensors.
Lastly, I ensured that the data being sent to the server was processed on the Pi, and only a size 4 1-bit array of lean data was actually sent to the extension in order to decrease the overall latency of the server. This is instead of a size 16 integer array, which would have much higher latency both to send and to process on the front-end.
I think I am on track, especially since I plan on doing a lot of work tomorrow (Sunday 3/30) on our project. I plan on finishing up the plot, testing with a couple of people, and ensuring that the seat module is fully ready for the interim demo. However, as previously mentioned, the data I am getting does have some variance, so I am also planning on spending this week implementing a SW filter and some averaging in order to determine whether a lean is occurring or if it is just noise.
This upcoming week, I hope to continue testing the module. Then, I will shift focus onto helping Lilly and Cora with their respective modules, as well as doing the overall integration of all of the sensors to make the module look more presentable.
Unfortunately, I did not take a video of the data being processed and sent, but when on campus tomorrow I will take a video and upload it here.