Relational Databases for Motion Data

Qaiser Riaz, Björn Krüger, and Andreas Weber
In: International Journal of Innovative Computing and Applications (July 2016), 7:3(119-134)
 

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 centralized access to all of them in an organized manner. In this paper we show that using a relational database management system (RDBMS) to store data not only provide such a centralized 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.

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Bibtex

@ARTICLE{riaz-2016a,
    author = {Riaz, Qaiser and Kr{\"u}ger, Bj{\"o}rn and Weber, Andreas},
     pages = {119--134},
     title = {Relational Databases for Motion Data},
   journal = {International Journal of Innovative Computing and Applications},
    volume = {7},
    number = {3},
      year = {2016},
     month = jul,
  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 centralized access to all of them in an
              organized manner. In this paper we show that using a relational database management
              system (RDBMS) to store data not only provide such a centralized 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.},
       url = {http://www.inderscience.com/info/inarticle.php?artid=78723},
       doi = {http://dx.doi.org/10.1504/IJICA.2016.078723}
}