a method for outdoor skateboarding video games
Video games aimed at motivating players to exercises have gained popularity over the last few years, but most games are still designed for indoor scenarios. In this paper, we present a platform for a novel game concept: a mobile video game that is controlled by performing tricks on a real skateboard. The platform consists of two parts. A well-protected small wireless sensor module integrated unobtrusively into a skateboard and trick detection software that employs data mining techniques to classify skateboarding tricks from the raw data. We show the feasibility of the approach by presenting Tilt'n'Roll, a prototype skateboarding game application built on this platform.
gaming mobile sports hci real-time classification digital entertainment and sports new gaming audiences