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Authors: E. Medina 1 ; H. de Rosario 1 ; J. Olaso 1 ; A. Ballester 1 ; J. Navarro 1 and A. Page 2

Affiliations: 1 Instituto de Biomecánica de Valencia, Spain ; 2 Universidad de Politécnica Valencia, CIBER de Bioingeniería and Biomateriales y Nanomedicina (CIBER-BBN), Spain

ISBN: 978-989-8565-36-5

Keyword(s): Running, Pronator, Functional Data Analysis, Functional Principal Component Analysis.

Related Ontology Subjects/Areas/Topics: Applications ; Applications and Services ; Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Biometrics ; Biometrics and Pattern Recognition ; Computer Vision, Visualization and Computer Graphics ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Medical Image Detection, Acquisition, Analysis and Processing ; Methodologies and Methods ; Multimedia ; Multimedia Signal Processing ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing ; Telecommunications

Abstract: The correct classification of runners according to their gait patterns is a relevant issue for the design of sports footwear. Specifically, the classification of runners as neutral, pronators, and supinators is a problem that is not yet fully solved, and requires expert observation, since current models based on the automatic processing of kinematic measures are very limited. This work proposes a method based on Functional Data Analysis (FDA) for automatically describing the morphology of the curves that represent ankle movement patterns. By Functional Analysis of Principal Components, the information contained in each data stream is reduced to a small set of variables, that allows an efficient classification of subjects.

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Paper citation in several formats:
Medina, E.; de Rosario, H.; Olaso, J.; Ballester, A.; Navarro, J. and Page, A. (2013). Identification of Pronation-supination Patterns on Runners - An Aplication of Functional Principal Component Analysis.In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013) ISBN 978-989-8565-36-5, pages 294-297. DOI: 10.5220/0004215102940297

@conference{biosignals13,
author={E. Medina. and H. de Rosario. and J. Olaso. and A. Ballester. and J. Navarro. and A. Page.},
title={Identification of Pronation-supination Patterns on Runners - An Aplication of Functional Principal Component Analysis},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)},
year={2013},
pages={294-297},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004215102940297},
isbn={978-989-8565-36-5},
}

TY - CONF

JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2013)
TI - Identification of Pronation-supination Patterns on Runners - An Aplication of Functional Principal Component Analysis
SN - 978-989-8565-36-5
AU - Medina, E.
AU - de Rosario, H.
AU - Olaso, J.
AU - Ballester, A.
AU - Navarro, J.
AU - Page, A.
PY - 2013
SP - 294
EP - 297
DO - 10.5220/0004215102940297

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