The SB-ST decomposition in the study of Developmental Coordination Disorder

@article{Claudino2015TheSD,
  title={The SB-ST decomposition in the study of Developmental Coordination Disorder},
  author={Leonardo Claudino and J. Clark and Y. Aloimonos},
  journal={2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)},
  year={2015},
  pages={143-149}
}
  • Leonardo Claudino, J. Clark, Y. Aloimonos
  • Published 2015
  • Computer Science
  • 2015 Joint IEEE International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob)
  • To deal with redundancy and high-dimensionality that are typical of movement data, we propose to decompose action matrices in two decoupled steps: first, we discover a set of key postures, that is, vectors corresponding to key relationships among degrees of freedom (like angles between body parts) which we call spatial basis (SB) and second, we impose a parametric model to the spatio-temporal (ST) profiles of each SB vector. These two steps constitute the SB-ST decomposition of an action: SB… CONTINUE READING

    References

    SHOWING 1-10 OF 26 REFERENCES
    Shared and specific muscle synergies in natural motor behaviors.
    • A. d’Avella, E. Bizzi
    • Medicine, Computer Science
    • Proceedings of the National Academy of Sciences of the United States of America
    • 2005
    • 514
    • PDF
    Motor learning through the combination of primitives.
    • F. Mussa-Ivaldi, E. Bizzi
    • Computer Science, Medicine
    • Philosophical transactions of the Royal Society of London. Series B, Biological sciences
    • 2000
    • 344
    • PDF
    Combinations of muscle synergies in the construction of a natural motor behavior
    • 956
    • PDF
    Decomposing biological motion: a framework for analysis and synthesis of human gait patterns.
    • N. Troje
    • Psychology, Medicine
    • Journal of vision
    • 2002
    • 844
    • Highly Influential
    • PDF
    Gaussian process for human motion modeling: A comparative study
    • G. Fan, Xin Zhang, M. Ding
    • Mathematics, Computer Science
    • 2011 IEEE International Workshop on Machine Learning for Signal Processing
    • 2011
    • 9
    Motor control theories and their applications.
    • 122
    • PDF
    Matrix factorization algorithms for the identification of muscle synergies: evaluation on simulated and experimental data sets.
    • 542
    • PDF
    For young jumpers, differences are in the movement's control, not its coordination.
    • 53
    Coordination of Locomotion with Voluntary Movements in Humans
    • 356
    • PDF