Category: Kat’s Status Reports

Things are going well, last week I was the one to present our final presentation so I prepared a lot of that. I also worked on the wireless implementation and fixed the soldering on the PCB so we can power it with the battery. We are continuing to collect data.

Nia and I have been working on the machine learning model’s interfacing with the API. I have implemented the KNN model to work on 5 nearest neighbors, which achieves a testing accuracy of 94%. I also am working still on the implementation of the bluetooth and preparing for the final presentation this week.

This week I assembled the breadboard with the all our parts mounted onto it and set it up on the glove. For the interim demo I made a script that printed out all the values we were collecting, I helped Teadora test the touch sensors by setting up the library for it and running the script on them as well. Now that our glove is assembled, we are going to start data collection this week. Therefore this weekend I am working on simultaneously running the Micro Python script on the Pico and the data collection script. I also am working on the wireless component so we can run the model without wires when we finish data collection.

This week, I worked on processing the ADS and the touch sensors as well as the calibration of the readings coming from the sensors mounted directly to the glove. Now we have a complete set set of readable data from the sensors. I also started work on the wireless transmission of the RBi although I do not think it will be ready by the interim demo. On the hardware side I soldered all the header pins onto our boards like the Raspberry Pi and the touch sensors board so they can be mountable onto the mini breadboard.

This week we have the interim demo so I will work on what I will talk about during it. Nia and I will continue working on the machine learning model as we are thinking of shifting from a neural network to a KNN model.

I finished the reading of the data from the flex sensors and IMU. I processed that data into percentages of finger bends with a pretty accurate range. For our project we need at least 2 classifications of bend which I have achieved through calculations right as we receive data. I also made a calibration system for the glove that we can use if needed for different users. Nia and I are also working on the classification of different signs based on binary vectors we created. Teadora and I attached the RPi to a breadboard and can hook up the gloves with its attached flex sensors to it for testing.

This week I will finish the ADS connections so we can read all of the analog flex sensor values. The IMU’s data is a little messed up, I need to finish calculating the position values as they are not correct as of right now. However, it does process motion well and in the correct direction. Nia and I will be working on data collection for our model now that we have started glove assembly.

This week I finished the wired connection between the Raspberry Pi Pico so we can read values from the analog signals. Once the ADC adapter comes in we will be able to connect all of the analog signals at once. I plan on finishing the bluetooth processing tomorrow so we can focus on the machine learning model for the rest of the week and time.

This week I worked on the design document and researching the machine learning model. I have begun with the serial processing code however I need the microcontroller to test it. As the microcontroller arrived this week I will be able to work on that and see how it works. I made some revisions to our design as we do not have enough pins on our microcontroller for our analog signals. Therefore I am ordering an ADS that will give us extra channels for our analog signals, I will discuss with my team on Monday before placing the order. I found one that adds 4-channels and that was original plan, however as I do research I discovered that a lot of people end up using touch sensors so I am wondering if implementing an 8 extra ADC pins would be needed.

This week our group presented, and finished the presentation. However, I did not present, I worked on the programming for accepting information from a Raspberry Pi and will test it on a Raspberry Pi from lending this week. I will not be able to run it on the Raspberry Pi we will be using for our project as it is still not been delivered yet. We are not on schedule as our parts have not arrived yet so we have not begun assembling the glove. However I will continue to do as much work on the software without the hardware as I can.  I will also be working on the Design document this week.

This week, I worked on the design slideshow and the planning of our project. I started researching how we will accept and process serial information from the raspberry pi. We are behind schedule as we did not order the parts until this week but ideally our sensors and glove arrives soon so we can start the assembly of our glove. In the meantime as I stated I will continue to work on the data transmission to the machine learning model and determining which ML model we will use.

This week the team worked on the project proposal, I worked on the gaant chart and software requirements slides. We have not ordered our parts yet, however we have a good idea of the parts we need to order and will do soon at the beginning of next week. I specifically want to work on research of the machine learning datasets and classifying data of 3-dimension signaling. I also want to practice with some parts from inventory for the hardware to software communication.