Motion Data Beyond Animation
Salzvedel Furtado · ERA: Education and Research Archive (University of Alberta) · 2016
Motion capture (MoCap) data has always been one of the most important components in the entertainment industry, being widely employed in animated movies and games. Given technological advancements in motion capture technologies, it has been successfully applied to other areas, such as surgical assessment, elderly monitoring and surveillance systems. As capture technologies are further developed, and human kinematic models are commonly employed in different fields, new issues regarding data optimization arise.In this thesis, we present novel methods that optimize the use of MoCap data in three distinct situations: unreliable network transmission, data compression and human identification. These methods assist MoCap-based applications outside the traditional animation scope, and become relevant as data format is standardized.