Niall Corcoran

Papers

Total Citations

H-Index

About

Niall Corcoran is a researcher at the forefront of applying artificial intelligence to sports science, with a primary focus on computer vision and human action recognition (HAR) in combat sports. His major contribution lies in developing automated systems that can analyze video footage of competitions and training sessions in real time, accurately classifying complex human movements. This work bridges the gap between cutting-edge computer vision architectures and practical athletic performance analysis. Corcoran’s research has the potential to revolutionize coaching, refereeing, and athlete development in disciplines like boxing, MMA, and wrestling. His most cited paper, “Automation of Computer Vision Applications for Real-time Combat Sports Video Analysis” (2022), has garnered 7 citations, establishing a foundation for future work in this niche but rapidly growing field. By automating the tedious process of manual video review, Corcoran’s innovations promise to deliver objective, data-driven insights that can enhance training efficiency and competitive fairness. For students and researchers interested in the intersection of AI and sports, Corcoran’s work exemplifies how technology can unlock new dimensions of human performance analysis.