Sports Technology


This research undertakes high-impact inter-disciplinary collaboration involving real user cohorts. Our long-term objective is to provide new knowledge, research tools, and innovative disruptive technologies in the convergence space and intersection of computer science, health informatics, law, sport science, and epidemiology. Developing digital solutions helping to understand the healthy human being is key, and this work is organized in the “Corpore Sano Centre“.

Cohorts of elite sports athletes are important for this research.  Soccer is one of our target domains, and our current focused attention involves gender specific aspects since gender-differentiated development, conditioning, and recognition of elite soccer athletes have received relatively little attention from the international research community.

Our research contributes to the UiT “Female Football Research Centre” that intends to obtain new and fundamental insights and knowledge on highly relevant performance factors that influence sustainable development and health of female elite football athletes.

Currently, we are researching next-generation fully automated soccer analytics systems based on computer vision, machine learning, and real-time processing to provide automated event detection and instant tactical insights during matches, utilizing existing stadium infrastructure. This research is carried out in close collaboration with the Holistic Systems group at SimulaMet.

We are researching end-to-end distributed systems for quantified self (medical) purposes that meet future requirements on privacy and security. The goal is to apply insights from this research to carry out future epidemiological validation in larger population groups. Notably, we conjecture that the analytics techniques investigated to track and analyze soccer player movements and physiological data also can be applied to healthcare, particularly in rehabilitation and preventive medicine. This could lead to improved patient monitoring systems and more personalized treatment plans.



Members:

Dag Johansen (Principal investigator)
Tor-Arne Schmidt Nordmo
Aril Bernhard Ovesen
Ivan Andre Matias Do Vale Baptista
Martin Rypdal
Håvard Dagenborg