Sciweavers

Share
KI
2008
Springer

On-Line Detection of Rule Violations in Table Soccer

9 years 10 months ago
On-Line Detection of Rule Violations in Table Soccer
In table soccer, humans can not always thoroughly observe fast actions like rod spins and kicks. However, this is necessary in order to detect rule violations for example for tournament play. We describe an automatic system using sensors on a regular soccer table to detect rule violations in realtime. Naive Bayes is used for kick classication, the parameters are trained using supervised learning. In the on-line experiments, rule violations were detected at a higher rate than by the human players. The implementation proved its usefulness by being used by humans in real games and sets a basis for future research using probability models in table soccer.
Armin Hornung, Dapeng Zhang 0002
Added 13 Dec 2010
Updated 13 Dec 2010
Type Journal
Year 2008
Where KI
Authors Armin Hornung, Dapeng Zhang 0002
Comments (0)
books