Computer-Assisted Physiotherapeutic Rehabilitation
Figure 1: A picture from a physiotherapeutic exercise.
A major challenge of the 21st century is how to offer more health care
and rehabilitation at a lower cost. It is estimated that every person in
Denmark will require physiotherapeutic rehabilitation at least once in his
or her lifetime, and this number is expected to increase with the aging
society. Physiotherapeutic rehabilitation requires skilled and therefore
expensive supervision and the costs are expected to increase as the workforce
decreases. The traditional solution is to offer the patient home exercise-programs
such as illustrated texts or movies, but these are often difficult to follow.
Moreover, they are not easily customizable to the individual patients needs,
and often fail to motivate the patients well enough to achieve real progress.
Further, home-exercises offer no easy monitoring by health-care professionals,
which is why corrections and changes can only be made at larger intervals than is optimal.
Figure 2: A cartoon illustration of the system being developed.
We perform research in the methods and technology needed for development
of a 3D computer vision based tool for computer-assisted physiotherapeutic
rehabilitation. For more details see this brief note
[PDF] and the
publications list.
Participants
Former participants
The company DigiCorpus ApS was formed as a spin-out
of the research conducted within the HUMIM research project.
We aim to make as much source code as possible available to the public. This
includes the OpenTissue library and our
software for articulated tracking.
Journal Papers
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Søren Hauberg, Francois Lauze and Kim Steenstrup Pedersen:
Unscented Kalman Filtering on Riemannian Manifolds. Journal of Mathematical
Imaging and Vision, 2012.
Publishers website ·
PDF ·
BibTeX
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Code.
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Søren Hauberg, Stefan Sommer and Kim Steenstrup Pedersen:
Natural metrics and least-committed priors for articulated
tracking. Image and Vision Computing, 30(6-7): 453-461, 2012.
Publishers website ·
PDF ·
BibTeX
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Code.
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Søren Hauberg and Kim Steenstrup Pedersen:
Predicting Articulated Human Motion from Spatial Processes.
International Journal of Computer Vision, 94 (3): 317-334, 2011
Publishers website ·
Paper website ·
PDF ·
BibTeX
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Code.
Conference Papers
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Søren Hauberg and Kim Steenstrup Pedersen:
Spatial Measures between Human Poses for Classification and Understanding.
In Articulated Motion and Deformable Objects (AMDO), Springer Lecture Notes in Computer Science, LNCS 7378, pp. 26-36 (2012).
Publishers website ·
BibTeX
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Code.
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Søren Hauberg and Kim Steenstrup Pedersen:
Data-Driven Importance Distributions for Articulated Tracking.
In Energy Minimization Methods in Computer Vision and Pattern
Recognition, Springer Lecture Notes in Computer Science, LNCS 6819, pp. 287-299 (2011).
PDF ·
Supplementary Material ·
BibTeX
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Code.
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Anders Boesen Lindbo Larsen, Søren Hauberg and Kim Steenstrup Pedersen:
Unscented Kalman Filtering for Articulated Human Tracking.
At Scandinavian Conference on Image Analysis (SCIA) 2011.
Paper website · PDF ·
BibTeX.
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Cristina Manfredotti, Sandra Zilles and Howard J. Hamilton:
Learning RDBNs for Activity Recognition.
In Learning and Planning from Batch Time Series Data, 2010 NIPS Workshop, Whistler, B.C.
PDF ·
POSTER ·
BibTeX.
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Cristina Manfredotti, David J. Fleet, Howard J. Hamilton and Sandra Zilles:
Relational Particle Filtering.
In Monte Carlo Methods for MOdern Applications, 2010 NIPS Workshop, Whistler, B.C.
PDF ·
POSTER ·
Technical report ·
BibTeX.
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Søren Hauberg and Kim Steenstrup Pedersen:
Stick It! Articulated Tracking using Spatial Rigid Object Priors.
In Asian Conference on Computer Vision 2010 (ACCV'10), Springer Lecture Notes in Computer Science, No. 6494, p. 758-769, 2011.
Paper website · PDF ·
BibTeX.
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Søren Hauberg, Stefan Sommer and Kim Steenstrup Pedersen:
Gaussian-like Spatial Priors for Articulated Tracking.
In European Conference on Computer Vision (ECCV) 2010, Springer Lecture Notes in Computer Science, p. 425-437.
Paper website · PDF ·
BibTeX.
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Rune Møllegaard Friborg, Søren Hauberg and Kenny Erleben:
GPU Accelerated Likelihoods for Stereo-Based Articulated Tracking.
At the CVGPU workshop at European Conference on Computer Vision (ECCV) 2010.
Workshop website · PDF ·
BibTeX.
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Morten Engell-Nørregård, Søren Hauberg, Jerome Lapuyade, Kenny Erleben and Kim Steenstrup Pedersen:
Interactive Inverse Kinematics for Monocular Motion Estimation.
At the 6th Workshop on Virtual Reality Interaction and Physical Simulation (VRIPHYS 09), 2009.
Conference website ·
Paper website ·
BibTeX.
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Søren Hauberg, Jerome Lapuyade, Morten Engell-Nørregård, Kenny Erleben and Kim Steenstrup Pedersen:
Three Dimensional Monocular Human Motion Analysis in End-Effector Space.
In Energy Minimization Methods in Computer Vision and Pattern
Recognition, Springer Lecture Notes in Computer Science (2009), p. 235-248.
Publishers website ·
Paper website ·
PDF ·
BibTeX.
Other Publications
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Søren Hauberg and Kim Steenstrup Pedersen: HUMIM Software for Articulated Tracking. Technical report, January 2012.
PDF ·
BibTeX.
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Søren Hauberg: Spatial Models of Human Motion (PhD Thesis), 2011.
BibTeX.
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Søren Hauberg and Kim Steenstrup Pedersen: A Physically Natural Metric for Human Motion and the Associated
Brownian Motion Model. Abstract at 1st IEEE Workshop on Kernels and Distances for Computer Vision (ICCV
workshop), 2011.
Conference website ·
BibTeX.
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Søren Hauberg, Bente Rona Jensen, Morten Engell-Nørregård, Kenny Erleben and Kim Steenstrup Pedersen:
Dense Marker-less Three Dimensional Motion Capture.
At Virtual Vistas; Eleventh International Symposium on the 3D Analysis of Human Movement, 2010.
Conference website ·
BibTeX.