Finishing Wiring and testing. Issues with the parts we ordered. Parts connect and work well but the circuit is not reading correctly (Jacob)
Start Printing the fusion model. Will be taking multiple attempts because there may be many errors with how the print comes out (Diego)
Pre processing and real time processing (Jeremy)
Weekly Report. Learn to bluetooth (Vihan)
Construct and test
Coordinator and Fusion Specialist
This week, I worked on the EEG placement on the head and continued developing the helmet. My focus was on positioning the EEG components accurately to ensure proper functionality while also refining how they fit within the helmet structure. I made adjustments to improve stability, comfort, and overall integration. This stage helped strengthen the design and marked an important step forward in combining the technical components with the physical build.
Electronics Specialist and Lead Designer
This week, I focused on testing everything out. I identified the location of the filament and continued developing the posterior part of the head. I worked on improving how the components fit together and made adjustments to increase stability and comfort. Throughout the process, I tested different parts of the design to make sure everything functioned properly and reliably. This helped strengthen both the structure and overall performance of the project.
Researcher and Historian
This week, I helped wire the RC car and tested it to see if the wheels began spinning properly. I also worked on troubleshooting the ESC and motor connections to ensure everything functioned correctly. In addition, I researched Bluetooth chips and explored how they could be used to enable wireless control of the car for future improvements to the project.
Lead Coder and Technical Documentation Lead
This Arduino program reads brainwave (EEG) signals through an external ADS1220 using SPI communication, alternating between two channels to collect voltage samples. It converts the raw 24-bit data into normalized voltage values and stores them in arrays. Once enough samples are gathered, it uses the ArduinoFFT library to perform a Fast Fourier Transform (FFT), which converts the signals from the time domain into the frequency domain for analysis of brainwave patterns. The program continuously outputs the sampled voltage data to the Serial Monitor while repeatedly collecting and processing new data.