A vision based proposal for classification of normal and abnormal gait using RGB camera

Please use this identifier to cite or link to this item: http://hdl.handle.net/10045/63396
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Title: A vision based proposal for classification of normal and abnormal gait using RGB camera
Authors: Nieto-Hidalgo, Mario | Ferrandez-Pastor, Francisco-Javier | Valdivieso-Sarabia, Rafael J. | Mora Pascual, Jerónimo Manuel | García-Chamizo, Juan Manuel
Research Group/s: Informática Industrial y Redes de Computadores
Center, Department or Service: Universidad de Alicante. Departamento de Tecnología Informática y Computación
Keywords: Gait analysis | Computer vision | Heel strike | Toe off | Frailty | Senility | Pattern recognition
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: Oct-2016
Publisher: Elsevier
Citation: Journal of Biomedical Informatics. 2016, 63: 82-89. doi:10.1016/j.jbi.2016.08.003
Abstract: Human gait is mainly related to the foot and leg movements but, obviously, the entire motor system of the human body is involved. We hypothesise that movement parameters such as dynamic balance, movement harmony of each body element (arms, head, thorax…) could enable us to finely characterise gait singularities to pinpoint potential diseases or abnormalities in advance. Since this paper deals with the preliminary problem pertaining to the classification of normal and abnormal gait, our study will revolve around the lower part of the body. Our proposal presents a functional specification of gait in which only observational kinematic aspects are discussed. The resultant specification will confidently be open enough to be applied to a variety of gait analysis problems encountered in areas connected to rehabilitation, sports, children’s motor skills, and so on. To carry out our functional specification, we develop an extraction system through which we analyse image sequences to identify gait features. Our prototype not only readily lets us determine the dynamic parameters (heel strike, toe off, stride length and time) and some skeleton joints but also satisfactorily supplies us with a proper distinction between normal and abnormal gait. We have performed experiments on a dataset of 30 samples.
Sponsor: This research is part of the FRASE MINECO project (TIN2013-47152-C3-2-R) funded by the Ministry of Economy and Competitiveness of Spain.
URI: http://hdl.handle.net/10045/63396
ISSN: 1532-0464 (Print) | 1532-0480 (Online)
DOI: 10.1016/j.jbi.2016.08.003
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2016 Elsevier Inc.
Peer Review: si
Publisher version: http://dx.doi.org/10.1016/j.jbi.2016.08.003
Appears in Collections:INV - I2RC - Artículos de Revistas

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