Reconstruction of Human Motions Using Few Sensors

M. Schumann and T. Kuhlen (Editors)
Jochen Tautges, Björn Krüger, Arno Zinke, and Andreas Weber
In proceedings of Virtuelle und Erweiterte Realität: 5. Workshop der GI-Fachgruppe VR/AR, Magdeburg, Germany, pages 1-12, Shaker Verlag, Sept. 2008
Presented at 5. Workshop "Virtuelle und Erweiterte Realit\"{a
 

Abstract

In this paper we show that it is possible to reconstruct whole body motions from the data taken by as few as 1, 2, 4 inertial sensors, if a semantic pre-classification of the motion is available, and motion data bases can be used to synthesize missing degrees of freedom. We demonstrate some examples of reconstructed motions and compare them with a video of the take, and we use data of optical motion captures for numerical comparisons. Although our work is mainly inspired by the wish to create easy-to-use and cheap motion capture systems for everyday settings, such a motion capture system is also an easy-to-use tracking system of whole body motions. Moreover, the underlying synthesis of motion out of low-dimensional control signals opens new ways for the control of avatars.

Best Paper Award

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Bibtex

@INPROCEEDINGS{tautges-2008-reconstruction,
      author = {Tautges, Jochen and Kr{\"u}ger, Bj{\"o}rn and Zinke, Arno and Weber, Andreas},
      editor = {Schumann, M. and Kuhlen, T.},
       pages = {1--12},
       title = {Reconstruction of Human Motions Using Few Sensors},
   booktitle = {Virtuelle und Erweiterte Realit{\"a}t: 5. Workshop der GI-Fachgruppe VR/AR},
        year = {2008},
       month = sep,
   publisher = {Shaker Verlag},
    location = {Magdeburg, Germany},
    abstract = {In this paper we show that it is possible to reconstruct whole body motions from the data taken by
                as few as 1, 2, 4  inertial sensors, if a semantic pre-classification of the motion is available,
                and motion data bases can be used to synthesize missing degrees of freedom. We demonstrate some
                examples of reconstructed motions and compare them with a video of the take, and we use data of
                optical motion captures for numerical comparisons. Although our work is mainly inspired by the wish
                to create easy-to-use and cheap motion capture systems for everyday settings, such a motion capture
                system is also an easy-to-use tracking system of whole body motions. Moreover, the underlying
                synthesis of motion out of low-dimensional control signals opens new ways for the control of
                avatars.},
        isbn = {978-3-8322-7572-3},
  conference = {5. Workshop "Virtuelle und Erweiterte Realit\"{a}t" der GI-Fachgruppe VR/AR}
}