AI-Powered Biomechanics: From Complex Data to Clinical Insights

Joseph M. Mahoney, Ph.D. - Alvernia University


This presentation tells the story of AI’s evolving role in biomechanics through the lens of my research journey. It highlights three projects that build in complexity and showcase advances in AI over the past decade. The first project uses AI to analyze data from wearable sensors and motion devices for running, walking, and jogging. The second focuses on identifying footstrike patterns, a key element in injury prevention and performance improvement. The final and longest project traces a ten-year journey developing a low-cost motion capture system for clinical use. This work reflects how AI technologies have matured, making advanced movement analysis more affordable and accessible. Together, these projects illustrate the progression of AI from handling complex and noisy data to delivering meaningful insights that can improve both research and clinical care.