Cornell University | Algorithms predict sports teams’ moves with 80% accuracy. @Cornell | Uploaded 2 years ago | Updated 2 hours ago
Algorithms developed in Cornell’s Laboratory for Intelligent Systems and Controls can predict the in-game actions of volleyball players with more than 80% accuracy, and now the lab is collaborating with the Big Red hockey team to expand the research project’s applications. The algorithms are unique in that they take a holistic approach to action anticipation, combining visual data–for example, where an athlete is located on the court–with information that is more implicit, like an athlete’s specific role on the team.