Real-World Solutions Meet Academic Excellence: Combat Sports
UCL Centre for Data Intensive Science and Industry
Research, Training and Knowledge Exchange
UCL Centre for Data Intensive Science and Industry, in partnership with industry partners, offers each physics PhD student a unique 6-month placement opportunity within a company for a host of benefits. With around 40 successful projects, we have raised ￡500,000 of PhD funding through this scheme. Here is one such project:
Sports & Wellbeing Analytics (SWA), is a company dedicated to enhancing player safety in contact sports. Their PROTECHT system is an intelligent mouthguard that actively monitors impacts to a player's head during games, providing real-time data on head impacts.?
Our Ph.D. student, Prabh Bhambra worked with SWA in a six-month placement applying machine learning techniques to enhance the system's capabilities. He trained Convolutional Neural Networks (CNNs) to detect false positives of strikes, used statistical models to predict fight outcomes, and developed a 3D CNN for video analysis of strikes in combat sports. Prabh also involved fine-tuning a pose estimation model for tracking fighters' positions.?
"The result of the work has led to a new research stream within the company to be developed in addition to opening up new commercial opportunities.”?
These projects showcase our student's technical skills and their ability to apply machine learning techniques in practical, industry-relevant contexts. We're incredibly proud of Prabh’s contributions to this innovative project!
More information and upcoming events
Check out our webpage for more information about the various types of industry-led projects. Reach out to Gabriel Facini and Sarah Malik for more information.
Upcoming events:
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