“My coding skills and machine learning knowledge had a huge leap. I learned how to better work in a team as well.”
Noah Lanier
Related Projects
Traditional Human Activity Recognition (HAR) utilizes accelerometry (movement) data to classify activities. This summer, Team #4 examined using physiological sensors to improve HAR accuracy and generalizability. The team developed ML models that are going to be available open source in the Digital Biomarker Discovery Pipeline (DBDP) to enable other researchers...