I am currently leading a research project to verify a pitch count algorithm developed by a previous Master's student. The algorithm takes acceleration data from an inertial measurement unit (IMU) on the pitcher's glove and counts pitches using a characteristic acceleration spike. Throughout the project, I have gained experience performing data manipulation (MATLAB) and data analysis (excel), as well as technical writing.
In an effort to expand the capabilities of the lab, I constructed a wooden, college-sized pitching mound. With this new mound, the lab has partnered with the Cal Poly Men's Varsity Baseball team. This partnership aims to conduct cutting-edge research on elite-level athletes, specifically focusing on providing pitchers with advanced analytics to enhance performance and minimize the risk of injuries. In addition, with a larger pitching mound, the lab can expand its test populations, gather more data, and conduct more injury prevention research.
As a first-year student researcher, my main job was to help Master's Students collect data for their theses while learning how to use the motion analysis system and the inverse dynamics software (Cortex).
Example youth pitching experiment and analysis on Cortex