Title: Relational databases for motion data

Authors: Qaiser Riaz; Björn Krüger; Andreas Weber

Addresses: Department of Computer Science II, Universität Bonn, Germany ' Gokhale Method Institute, Stanford, CA, USA ' Department of Computer Science II, Universität Bonn, Germany

Abstract: Motion capture data have been widely used in applications ranging from video games and animations to simulations and virtual environments. Moreover, all data-driven approaches for analysis and synthesis of motions are depending on motion capture data. Although multiple large motion capture datasets are freely available for research, there is no system which can provide a centralised access to all of them in an organised manner. In this paper, we show that using a relational database management system (RDBMS) to store data not only provide such a centralised access to the data, but also allows to include other sensor modalities (e.g., accelerometer data) and various semantic annotations. We present two applications for our system: a motion capture player where motions sequences can be retrieved from large datasets using SQL queries and the automatic construction of statistical models which can further be used for complex motion analysis and motions synthesis tasks.

Keywords: mocap; relational databases; motion capture; motion data; data capture; relational database management systems; RDBMS; sensor modalities; semantic annotations; motion sequences.

DOI: 10.1504/IJICA.2016.078723

International Journal of Innovative Computing and Applications, 2016 Vol.7 No.3, pp.119 - 134

Received: 05 Feb 2016
Accepted: 03 Mar 2016

Published online: 01 Sep 2016 *

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