Analysis of Patterns of Motor Behavior in Gamers with Down Syndrome

Abstract

This paper reports on the computer vision-based analysis of weight-shifting patterns in Down Syndrome subjects. The subjects were filmed while playing a snowboarding game in a virtual reality environment. To capture local changes in posture during motion performance, we introduce the concept of parabolic bounding box. This concept aims at capturing information about the lateral curvature of the human body in motion. This information is aggregated into histograms of motion curvatures. This novel motion representation is useful for differentiating between normal and abnormal weight shifting patterns, and for presenting subject specific information about the frequency of these patterns over the entire duration of the game.

Cite

Text

Svendsen et al. "Analysis of Patterns of Motor Behavior in Gamers with Down Syndrome." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011. doi:10.1109/CVPRW.2011.5981673

Markdown

[Svendsen et al. "Analysis of Patterns of Motor Behavior in Gamers with Down Syndrome." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2011.](https://mlanthology.org/cvprw/2011/svendsen2011cvprw-analysis/) doi:10.1109/CVPRW.2011.5981673

BibTeX

@inproceedings{svendsen2011cvprw-analysis,
  title     = {{Analysis of Patterns of Motor Behavior in Gamers with Down Syndrome}},
  author    = {Svendsen, Jeremy and Albu, Alexandra Branzan and Virji-Babul, Naznin},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2011},
  pages     = {1-6},
  doi       = {10.1109/CVPRW.2011.5981673},
  url       = {https://mlanthology.org/cvprw/2011/svendsen2011cvprw-analysis/}
}