Graph-based approach for motion capture data representation and analysis
Providing better representation methods for motion capture data can lead to improved performance in terms of classification, recognition, synthesis and dimensionality reduction. In this paper, we propose a novel representation method inspired by algebraic and spectral graph theoretic concepts. Our proposed method represents motion data in a space constructed with bases for skeleton-like graphs. We introduce two criteria and as well as its influences on the generated bases. With experiments on CMU MoCap database, we will also discuss how this method may act as a good preprocessing tool in order to enhance the further analysis steps on MoCap data.