Master Assignment
[B] Pose Estimation in Handball Videos for Personalized Training
Type: Master EE/CS/HMI
Period: TBD
Student: (Unassigned)
If you are interested, please contact :
Project Overview:
- Develop a pose estimation system specifically designed for handball videos, focusing on tracking key body movements.
- Create models that provide personalized training insights based on player performance and movements.
- Utilize computer vision and deep learning techniques to capture precise player poses during gameplay and training sessions.
- Address challenges unique to handball, such as fast-paced action, team dynamics, and complex movement patterns.
- Contribute to building a tool that empowers athletes and coaches with data-driven performance analysis for individualized training programs.
Why Join?
- Be part of a project at the intersection of sports science, computer vision, and AI, with the potential to revolutionize athlete training.
- Gain hands-on experience in applying machine learning to real-world sports applications.
- Collaborate with a diverse team of experts in sports analytics and AI.
- Contribute to advancing personalized training technologies for improved athletic performance.
Who Should Apply?
- Students with a background in machine learning and computer vision.