Computer vision system for human anthropometric parameters estimation

  • Authors:

  • Ivo Stancic;Tamara Supuk;Mojmil Cecic

  • Affiliations:

  • Laboratory for Biomechanics and Automatic Control, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia;Laboratory for Biomechanics and Automatic Control, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia;Laboratory for Biomechanics and Automatic Control, Faculty of Electrical Engineering, Mechanical Engineering and Naval Architecture, University of Split, Split, Croatia

  • Venue:
  • WSEAS TRANSACTIONS on SYSTEMS
  • Year:
  • 2009

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Abstract

In this paper we have proposed and evaluated a new method for human anthropometric parameters estimation. Method is planed to be simple and fast, thus suited for examiners with no experience in the anthropometric measurements. An anthropometric data obtained by this method, segments masses and lengths, are primarily used for biomechanics applications, but could be adapted to other fields, as well. Estimates of segment inertial properties are frequently based on data and procedures developed for human cadavers in whom inertial properties have been measured directly, using complicated and time consuming procedures. For that reason, we have designed a measurement system that consists of singe digital camera, PC and requires simple experimental set-up with a few considerations. Proposed method comes with some disadvantages, due to which it could be rather used as an estimation tool than as a highly-precise measurement procedure of anthropometric parameters. Measurement using proposed method is completely contactless with the subject, which result in minimizing examiners physical intervention and considerable reduction of time required for measurements. Therefore, measurement procedure is adopted to be executed on a large number of subjects in short time. An algorithm was developed that creates 3D model of the human body using only data obtained from 2D subject's image, and ellipses as basic building objects. Finally, results of anthropometric body parameters obtained for three subjects were compared with referent anthropometric data and manual measurement.