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

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ID: 51800
2018
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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.
Reference Key
nietohidalgo2018gaitmobile Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Nieto-Hidalgo, Mario;Ferrández-Pastor, Francisco Javier;Valdivieso-Sarabia, Rafael J.;Mora-Pascual, Jerónimo;García-Chamizo, Juan Manuel;
Journal mobile information systems
Year 2018
DOI
DOI not found
URL
http://dx.doi.org/10.1155/2018/7381264
Keywords
Medicine Technology Science (General) Science telecommunication communication. mass media geology geography. anthropology. recreation cybernetics information theory

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