ORCID ID: 0000-0002-8196-7648
Research Project Title: Use of Artificial Intelligence and Biomechanics Analysis to Create a Hurling Training Program in Ireland.
Supervisors/s: Dr. Lilibeth Zambrano, Dr. Richard Bolger, Dr. Paul Byrne and Dr. Sharon Kinsella.
Project Funding: The South East Regional Development (SERD)
- Research Project Description
- Publications and Outputs
Hello, my name is Chloe Leddy. I joined the Department of Aerospace, Mechanical and Electronic Engineering in 2021. I graduated from Dublin City University with a B.Sc in Sport Science and Health in 2015. During my final year, I completed a research project in the discipline of sports biomechanics for performance enhancement and the prevention of musculoskeletal injuries. This research assessed impact accelerations during a vertical jump and aimed to determine the validity of a simulated sports training environment, against an indoor lab environment (criterion) using inertial measuring units and machine learning. In 2019, I obtained a Bachelor of Business from Dorset College Dublin. My areas of interest include human pose estimation for kinematic analysis, machine learning for sport performance classification and inertial measuring units for biomechanics analysis.
Research Project Description
This project proposes to study sports motion of Hurling players via tracking 3D joint positions and video footage of competitive Hurling players.
The use of inertial measuring units (IMU) sensors, computer vision techniques and artificial intelligence will enable accurate tracking and quantification of Hurling movement kinematics and kinetics. By assessing the biomechanical factors that influence performance in hurling, it is then possible to target the most effective and efficient techniques and create a training program that will increase sport performance and reduce injury incidence rate.
The research project aims to develop a novel and AI-assisted method of analysing Hurling sports motion. A database will also be created which will contain the combination of movements that comprise the most effective and efficient technique for playing Hurling. This can be used in conjunction with the AI-based system to design effective hurling biomechanical and conditioning plans for future students to enhance sporting performance and reduce injury risk.
Publications and Outputs