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Neuroinformatics
Erschienen in: Neuroinformatics 1/2017

01.09.2016 | Original Article

Classification of Normal and Pathological Gait in Young Children Based on Foot Pressure Data

Erschienen in: Neuroinformatics | Ausgabe 1/2017

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Abstract

Human gait recognition, an active research topic in computer vision, is generally based on data obtained from images/videos. We applied computer vision technology to classify pathology-related changes in gait in young children using a foot-pressure database collected using the GAITRite walkway system. As foot positioning changes with children’s development, we also investigated the possibility of age estimation based on this data. Our results demonstrate that the data collected by the GAITRite system can be used for normal/pathological gait classification. Combining age information and normal/pathological gait classification increases the accuracy of the classifier. This novel approach could support the development of an accurate, real-time, and economic measure of gait abnormalities in children, able to provide important feedback to clinicians regarding the effect of rehabilitation interventions, and to support targeted treatment modifications.
Vorheriger Artikel N3DFix: an Algorithm for Automatic Removal of Swelling Artifacts in Neuronal Reconstructions
Nächster Artikel SpineCreator: a Graphical User Interface for the Creation of Layered Neural Models

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Metadaten
Titel
Classification of Normal and Pathological Gait in Young Children Based on Foot Pressure Data
Publikationsdatum
01.09.2016
Erschienen in
Neuroinformatics / Ausgabe 1/2017
Print ISSN: 1539-2791
Elektronische ISSN: 1559-0089
DOI
https://doi.org/10.1007/s12021-016-9313-x

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