Augmented-reality environment for locomotor training in children with neurological injuries
by Barmpoutis, Angelos | Fox, Emily | Elsner, Ian | Flynn, S.
In LNCS 8678 (Springer) Proceedings of MICCAI14 - Workshop on Augmented Environments for Computed Assisted Interventions: (eds. C.A. Linte, Z. Yaniv, P. Fallavollita, P. Abolmaesumi, and D. R. Holmes III), September 14, 2014, pp. 108-117. https://doi.org/10.1007/978-3-319-10437-9_12
Funded by: NIH/NCATS Clinical and Translational Science Award to the University of Florida UL1 TR000064, and the University of Florida Informatics Institute Seed Fund Award
In LNCS 8678 (Springer) Proceedings of MICCAI14 - Workshop on Augmented Environments for Computed Assisted Interventions: (eds. C.A. Linte, Z. Yaniv, P. Fallavollita, P. Abolmaesumi, and D. R. Holmes III), September 14, 2014, pp. 108-117. https://doi.org/10.1007/978-3-319-10437-9_12
Funded by: NIH/NCATS Clinical and Translational Science Award to the University of Florida UL1 TR000064, and the University of Florida Informatics Institute Seed Fund Award
Description
In this paper a novel augmented-reality environment is presented for enhancing locomotor training. The main goal of this environment is to excite kids for walking and hence facilitate their locomotor therapy and at the same time provide the therapist with a quantitative framework for monitoring and evaluating the progress of the therapy. This paper focuses on the quantitative part of our framework, which uses a depth camera to capture the patient’s body motion. More specifically, we present a model-free graph-based segmentation algorithm that detects the regions of the arms and legs in the depth frames. Then, we analyze their motion patterns in real-time by extracting various features such as the pace, length of stride, symmetry of walking pattern, and arm-leg synchronization. Several experimental results are presented that demonstrate the efficacy and robustness of the proposed methods.
Additional information
| Funding | NIH/NCATS Clinical and Translational Science Award to the University of Florida UL1 TR000064, and the University of Florida Informatics Institute Seed Fund Award |
|---|---|
| Author | Barmpoutis, Angelos, Fox, Emily, Elsner, Ian, Flynn, S. |
| Journal | In LNCS 8678 (Springer) Proceedings of MICCAI14 – Workshop on Augmented Environments for Computed Assisted Interventions: (eds. C.A. Linte, Z. Yaniv, P. Fallavollita, P. Abolmaesumi, and D. R. Holmes III) |
| Month | September 14 |
| Year | 2014 |
| Pages | 108-117 |
| URL | |
| DOI |
Citation
Citation
Barmpoutis, A., Fox, E., Elsner, I. and Flynn, S., 2014. Augmented-reality environment for locomotor training in children with neurological injuries. In LNCS 8678 (Springer) Proceedings of MICCAI14 - Workshop on Augmented Environments for Computed Assisted Interventions: (eds. C.A. Linte, Z. Yaniv, P. Fallavollita, P. Abolmaesumi, and D. R. Holmes III), pp. 108-117. https://doi.org/10.1007/978-3-319-10437-9_12
BibTex
@article{digitalWorlds:115,
doi = {https://doi.org/10.1007/978-3-319-10437-9_12},
author = {Barmpoutis, Angelos and Fox, Emily and Elsner, Ian and Flynn, S.},
title = {Augmented-reality environment for locomotor training in children with neurological injuries},
journal = {In LNCS 8678 (Springer) Proceedings of MICCAI14 - Workshop on Augmented Environments for Computed Assisted Interventions: (eds. C.A. Linte, Z. Yaniv, P. Fallavollita, P. Abolmaesumi, and D. R. Holmes III)},
month = {September 14},
year = {2014},
pages = {108-117}
} 
