{"title":"Accurate videogrammetric data for human limb movement research","authors":"A. Chong, J. Al-Baghdadi","doi":"10.1109/ICSIPA.2013.6707995","DOIUrl":null,"url":null,"abstract":"Recently, off-the-shelf HD video cameras are recognized low-cost video capture for the study of human movements associating with sport training, sport performance evaluation, physical impairment evaluation and rehabilitation evaluation. The data required for these applications are usually dimensions, 3D distance, angular elements and speed of movement of the various body components such as the head, trunk and limbs. More complex data include isoline plots, profile and cross-section and 3D textured models of these body parts. This paper focuses on the developed techniques that are used for acquiring high accuracy data for these applications. In the paper, the results of three current case studies are provided to show the quality of the videogrammetric acquired data. The studies show that the techniques developed produce high accuracy data for various applications in movement research.","PeriodicalId":440373,"journal":{"name":"2013 IEEE International Conference on Signal and Image Processing Applications","volume":"58 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE International Conference on Signal and Image Processing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIPA.2013.6707995","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Recently, off-the-shelf HD video cameras are recognized low-cost video capture for the study of human movements associating with sport training, sport performance evaluation, physical impairment evaluation and rehabilitation evaluation. The data required for these applications are usually dimensions, 3D distance, angular elements and speed of movement of the various body components such as the head, trunk and limbs. More complex data include isoline plots, profile and cross-section and 3D textured models of these body parts. This paper focuses on the developed techniques that are used for acquiring high accuracy data for these applications. In the paper, the results of three current case studies are provided to show the quality of the videogrammetric acquired data. The studies show that the techniques developed produce high accuracy data for various applications in movement research.