Gait Analysis Using Computer Vision Based on Cloud Platform and Mobile Device

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Title: Gait Analysis Using Computer Vision Based on Cloud Platform and Mobile Device
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 | Universidad de Alicante. Departamento de Didáctica General y Didácticas Específicas
Keywords: Gait analysis | Computer vision | Cloud platform | Mobile device
Knowledge Area: Arquitectura y Tecnología de Computadores
Issue Date: 14-Jan-2018
Publisher: Hindawi Publishing Corporation
Citation: Mobile Information Systems. Volume 2018 (2018), Article ID 7381264, 10 pages. doi:10.1155/2018/7381264
Abstract: Frailty and senility are syndromes that affect elderly people. The ageing process involves a decay of cognitive and motor functions which often produce an impact on the quality of life of elderly people. Some studies have linked this deterioration of cognitive and motor function to gait patterns. Thus, gait analysis can be a powerful tool to assess frailty and senility syndromes. In this paper, we propose a vision-based gait analysis approach performed on a smartphone with cloud computing assistance. Gait sequences recorded by a smartphone camera are processed by the smartphone itself to obtain spatiotemporal features. These features are uploaded onto the cloud in order to analyse and compare them to a stored database to render a diagnostic. The feature extraction method presented can work with both frontal and sagittal gait sequences although the sagittal view provides a better classification since an accuracy of 95% can be obtained.
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.
ISSN: 1574-017X (Print) | 1875-905X (Online)
DOI: 10.1155/2018/7381264
Language: eng
Type: info:eu-repo/semantics/article
Rights: © 2018 Mario Nieto-Hidalgo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Peer Review: si
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Appears in Collections:INV - I2RC - Artículos de Revistas

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