ML Anthology

Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition

Vinay Venkataraman, Pavan K. Turaga, Nicole Lehrer, Michael Baran, Thanassis Rikakis, Steven L. Wolf
CVPRW 2013 pp. 514-520
doi:10.1109/CVPRW.2013.82 /cvprw/2013/venkataraman2013cvprw-attractorshape/

Abstract

In this paper, we propose a novel shape-theoretic framework for dynamical analysis of human movement from 3D data. The key idea we propose is the use of global descriptors of the shape of the dynamical attractor as a feature for modeling actions. We apply this approach to the novel application scenario of estimation of movement quality from a single-marker for future usage in home-based stroke rehabilitation. Using a dataset collected from 15 stroke survivors performing repetitive task therapy, we demonstrate that the proposed method outperforms traditional methods, such as kinematic analysis and use of chaotic invariants, in estimation of movement quality. In addition, we demonstrate that the proposed framework is sufficiently general for the application of action and gesture recognition as well. Our experimental results reflect improved action recognition results on two publicly available 3D human activity databases.

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Cite

Text

Venkataraman et al. "Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2013. doi:10.1109/CVPRW.2013.82

Markdown

[Venkataraman et al. "Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition." IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2013.](https://mlanthology.org/cvprw/2013/venkataraman2013cvprw-attractorshape/) doi:10.1109/CVPRW.2013.82

BibTeX

@inproceedings{venkataraman2013cvprw-attractorshape,
  title     = {{Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition}},
  author    = {Venkataraman, Vinay and Turaga, Pavan K. and Lehrer, Nicole and Baran, Michael and Rikakis, Thanassis and Wolf, Steven L.},
  booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops},
  year      = {2013},
  pages     = {514-520},
  doi       = {10.1109/CVPRW.2013.82},
  url       = {https://mlanthology.org/cvprw/2013/venkataraman2013cvprw-attractorshape/}
}