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

@article{Venkataraman2013AttractorShapeFD,
  title={Attractor-Shape for Dynamical Analysis of Human Movement: Applications in Stroke Rehabilitation and Action Recognition},
  author={Vinay Venkataraman and Pavan K. Turaga and Nicole Lehrer and Michael Baran and Thanassis Rikakis and Steven L. Wolf},
  journal={2013 IEEE Conference on Computer Vision and Pattern Recognition Workshops},
  year={2013},
  pages={514-520}
}
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… CONTINUE READING
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