A well-conditioned estimator for large-dimensional covariance matrices
Journal of Multivariate Analysis
Paper FSRs and latex/fabric traction sensors: methods for the development of home-made touch sensors
NIME '06 Proceedings of the 2006 conference on New interfaces for musical expression
Using games to increase exercise motivation
Future Play '07 Proceedings of the 2007 conference on Future Play
Proceedings of the 20th Australasian Conference on Computer-Human Interaction: Designing for Habitus and Habitat
Wearable automatic feedback devices for physical activities
BodyNets '09 Proceedings of the Fourth International Conference on Body Area Networks
Hardware and software for skateboard trick visualisation on a mobile phone
Proceedings of the South African Institute for Computer Scientists and Information Technologists Conference
Designing interactive technology for skateboarding
Proceedings of the 8th International Conference on Tangible, Embedded and Embodied Interaction
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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.