{"title":"Motion measurement with high-speed video","authors":"S. Holzreiter, J. Kastner, P. Wagner","doi":"10.1016/0141-5425(93)90044-Y","DOIUrl":null,"url":null,"abstract":"<div><p>A new kinematic measurement system based on a high-speed video system, combined with a computer-assisted evaluation for the analysis of gait patterns, is described. The system allows both a reviewable visual assessment in slow motion (up to 1000 frames s<sup>−1</sup> as well as automatic measurement of the kinematics of body segments. Specially developed software, which uses a pattern search algorithm and an additional subpixel correction, results in a deviation of less than 0.1% (without considering the lens nonlinearity). For most cases the recognition and tracking of temporarily concealed markers is also achieved. The results of the computer-assisted high-speed video analysis are being applied in rehabilitation programmes to increase the objectivity of standard movements, e.g. gait analysis of people with artificial limbs.</p></div>","PeriodicalId":75992,"journal":{"name":"Journal of biomedical engineering","volume":"15 2","pages":"Pages 140-142"},"PeriodicalIF":0.0000,"publicationDate":"1993-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/0141-5425(93)90044-Y","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of biomedical engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/014154259390044Y","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
A new kinematic measurement system based on a high-speed video system, combined with a computer-assisted evaluation for the analysis of gait patterns, is described. The system allows both a reviewable visual assessment in slow motion (up to 1000 frames s−1 as well as automatic measurement of the kinematics of body segments. Specially developed software, which uses a pattern search algorithm and an additional subpixel correction, results in a deviation of less than 0.1% (without considering the lens nonlinearity). For most cases the recognition and tracking of temporarily concealed markers is also achieved. The results of the computer-assisted high-speed video analysis are being applied in rehabilitation programmes to increase the objectivity of standard movements, e.g. gait analysis of people with artificial limbs.
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