Study level

  • PhD
  • Master of Philosophy
  • Honours
  • Vacation research experience scheme

Faculty/School

Faculty of Science

School of Computer Science

Topic status

We're looking for students to study this topic.

Research centre

Centre for Data Science

Supervisors

Associate Professor Jim Hogan
Position
Associate Professor
Division / Faculty
Faculty of Science

External supervisors

  • Squash Australia

Overview

This project concerns computer vision and statistical analysis of performance in professional level matches in the game of squash.

The goal is to use computer vision and existing systems to capture and analyse patterns of play, allowing coaches and professional players to develop strategies to improve performance, to counter particular types of play and even to tailor game plans to attack individual opponents.

Research activities

Research activities will depend on the level of the student and the project but most work here will build on existing computer vision algorithms for the analysis of match and training videos.

We will learn to track trajectories across the match and to make inferences based on game performance. You will analyse court positions and shot selections for their effect on the probability of winning the point and learn to provide summaries in a way which may be useful in a game context.

The technical work will involve a lot of programming and machine learning, though there are extensive libraries available.

Outcomes

We are looking to:

  • develop sporting analytics specifically for the game of squash
  • incorporate these approaches in an existing squash analysis system in conjunction with Squash Australia.

Skills and experience

We're looking for students with strong programming skills and a technical background in one of:

  • computer science
  • electrical or software systems engineering
  • mathematics and physics.

You'll need to be comfortable in one of:

  • Python
  • C#
  • C++
  • Java
  • F#
  • other modern languages.

Ideally you will have some experience in machine learning and computer vision. We will teach you all you ever wanted to know about the game of squash.

If you are undertaking this project for honours or a PhD then you may be eligible to apply for a scholarship.

Scholarships

You may be eligible to apply for a research scholarship.

Explore our research scholarships

Keywords

Contact

Contact the supervisor for more information.