Team Members: Shamsul Chowdhury, Syed Qasim Sudais, Matthew Irons, Qinbo Wang
Academic Advisor: Cantay Caliskan, PhD | Sponsor: DiscSense
Abstract
The project “DiscSense” is aiming to revolutionize training in disc sports, particularly Ultimate Frisbee, by developing a lightweight sensor and an accompanying mobile application. This sensor, equipped with advanced gyroscopic technology, is designed to capture critical metrics from each throw, such as start and end, disc velocity, spin, and final condition. The application analyzes these data to provide athletes with actionable insights to enhance their performance. This technology leverages a MEMS (Microelectromechanical Systems) gyroscope to measure angular velocity, significantly improving our understanding of disc flight dynamics. Our findings contribute to the development of precision sports equipment by demonstrating how technology can minimize wobble, reduce drag, and maintain stability during flight. The project has established five criteria for success, including sensor accuracy, insightful data analysis, user experience, community engagement, and efficient data processing. This study outlines the challenges faced during model development, particularly in dealing with imbalanced datasets, and proposes future enhancements such as implementing advanced machine learning techniques and improving predictive accuracy. Our results indicate that integrating this technology not only aids in personal performance improvement but also has the potential to influence broader athletic training practices in disc sports.
