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.
Teadora’s Status Report 4/4
This week I added the capacitive touch sensors to the glove and presented at the interim demo. I was using conductive copper tape as the contacts for the glove, but I think it’s not a great long term solution since the adhesive can wear off and the copper gets crinkled. My solution is to embroider the glove with conductive thread to create a durable and flexible contact. My verification process involves confirming that the components work and can integrate effectively with the larger subsystems. Over the past few weeks I verified that the following components worked: flex sensors, IMU, ADS, capacitive touch sensor. First I confirmed that each component could be operated according to the manufacturer’s instructions by connecting it to a breadboard and measuring relevant information (ex: resistance, voltage with a multimeter). Then I connected it to the Pico and worked with Kat to make sure the signals were being received. Finally I attached the components to the glove and made sure signals were still accurate. For example, I first confirmed that the flex sensors worked as a voltage divider on a breadboard, then added it to a breadboard with the Pico. When I attached the flex sensors to the glove, the range of motion changed but data was still available, so I helped Kat calibrate the sensors to detect % finger bending. I believe the IMU data will need more calibration since the Z axis is very sensitive. We will also verify the gloves functionality after seeing the ML training data output.