Multi-dimensional coordination in cross-country skiing analyzed using self-organizing maps.

@article{Lamb2014MultidimensionalCI,
  title={Multi-dimensional coordination in cross-country skiing analyzed using self-organizing maps.},
  author={Peter F Lamb and Roger Michael Bartlett and Stefan Lindinger and Gavin Kennedy},
  journal={Human movement science},
  year={2014},
  volume={33},
  pages={54-69}
}
This study sought to ascertain how multi-dimensional coordination patterns changed with five poling speeds for 12 National Standard cross-country skiers during roller skiing on a treadmill. Self-organizing maps (SOMs), a type of artificial neural network, were used to map the multi-dimensional time series data on to a two-dimensional output grid. The trajectories of the best-matching nodes of the output were then used as a collective variable to train a second SOM to produce attractor diagrams… CONTINUE READING