Week 2 - Christian Cisneros

 After the second week of Digital Health Scholars, I have gained hands on experience with my personal project, learned more about python, and raspberry pi's. We started out with being set loose on our tiny watch projects. Me and my partner agreed on a watch that took skin tone into account when reading vitals so it was more accurate for darker skin tones. The development has been tumultuous and there was many bugs and detection issues when it came to mapping keys, filtering raw data, creating a good user experience, and implementing the algorithm. Beyond my project however, we begun diving deeper into linux and python with our computer vision program and the raspberry pi. 

    With computer vision, I was able to compute edge detection on a picture of a parrot, but ran into issues when I tried to make it higher quality making my parrot disappear. There were not enough raspberry pi's to go around so I was unable to have my own, but my partner was able to troubleshoot his on his computer and eventually get programs such as clockx and cowsay running.

    This week was significantly more hands on as we begun implementing our ideas to our tiny watches on our own. I learned a lot about debugging code and the intricacies of hardware and data processing. Looking forward, I plan to continue refining my project and developing a poster presentation to showcase all of the work I have accomplished. 

    I have thoroughly enjoyed Dr.Young and Professor Franklins input and guidance through these first two weeks. They have been both helpful and inspirational. I greatly appreciate their continued interest in our success and I look forward to finishing strong in the final week of the program.











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