A novel cost-effective postural tracking algorithm using marker-based video processing.

Recently, many postural analysis techniques have been developed in order to reduce the risk of musculoskeletal problems. Methods such as rapid entire body assessment are capable of analyzing the most constant or awkward positions, but the selection of these postures is subjective. To make an objecti...

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Publicado en:International Journal of Occupational Safety & Ergonomics Vol. 28; no. 3; pp. 1882 - 1894
Autores principales: Nazerian, Ramtin, Korhan, Orhan, Shakeri, Ehsan
Formato: Journal Article
Publicado: Taylor & Francis Ltd Sep2022
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Sep2022
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      pub: Taylor & Francis Ltd
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        atl: A novel cost-effective postural tracking algorithm using marker-based video processing.
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          Nazerian, Ramtin
          Korhan, Orhan
          Shakeri, Ehsan
        affil: Department of Industrial Engineering, Eastern Mediterranean University, Turkey
      sug:
      ab: Recently, many postural analysis techniques have been developed in order to reduce the risk of musculoskeletal problems. Methods such as rapid entire body assessment are capable of analyzing the most constant or awkward positions, but the selection of these postures is subjective. To make an objective postural analysis, devices such as electromagnetic trackers can be used continuously during the job task, but utilizing such devices is costly. Therefore, in this study a cost-effective marker-based video processing algorithm is developed for measuring three-dimensional (3D) information regarding both the location and the orientation of human posture. To investigate the precision of the measurements, an experiment was designed. With the average of 2.88 mm and 1.34° for location and orientation, respectively, the algorithm was able to measure six degrees of freedom information regarding 3D space. Furthermore, the precision of the algorithm is found to be significantly affected by the marker pattern.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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