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On methods to identify the symmetry line of human back

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Abstract

This paper analyse and compare the methods to detect and represent the human symmetry line. In the last years, the development of 3D scanners has allowed to replace the traditional techniques (marking based methods) with modern methodologies that, starting from a 3D valid discrete geometric model of the back, perform the posture and vertebral column detection based on a complex processing of the acquired data. The purpose of the paper is a critical discussion of the state of the art in order to highlight real potentialities and limitations of the most important methodologies proposed for human symmetry line detection.

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References

  1. Kothiyal, K., Kayis, B.: Workplace layout for seated manual handling tasks: an electromyography study. Int. J. Ind. Ergon. 27, 19–32 (2001). https://doi.org/10.1016/S0169-8141(00)00039-1

    Article  Google Scholar 

  2. Chiou, W.-K., Lee, Y.-H., Chen, W.-J., Lee, M.-Y., Lin, Y.-H.: A non-invasive protocol for the determination of lumbar spine mobility. Clin. Biomech. 11, 474–480 (1996). https://doi.org/10.1016/S0268-0033(96)00035-6

    Article  Google Scholar 

  3. Lee, Y.-H., Chiou, W.-K., Chen, W.-J., Lee, M.-Y., Lin, Y.-H.: Predictive cmodel of intersegmental mobility of lumbar spine in the sagittal plane from skin markers. Clin. Biomech. 10, 413–420 (1995). https://doi.org/10.1016/0268-0033(95)00012-X

    Article  Google Scholar 

  4. Sicard, C., Gagnon, M.: A geometric model of the lumbar spine in the sagittal plane. Spine 18, 646–658 (1993). https://doi.org/10.1097/00007632-199304000-00018

    Article  Google Scholar 

  5. Furferi, R., Governi, L., Palai, M., Volpe, Y.: From unordered point cloud to weighted B-spline—a novel PCA-based method. In: Presented at the Applications of Mathematics and Computer Engineering—American Conference on Applied Mathematics, AMERICAN-MATH’11, 5th WSEAS International Conference on Computer Engineering and Applications, CEA’11 (2011)

  6. Drerup, B., Hierholzer, E.: Back shape measurement using video rasterstereography and three-dimensional reconstruction of spinal shape. Clin. Biomech. 9, 28–36 (1994)

    Article  Google Scholar 

  7. Turner-Smith, A.R., Harris, J.D., Houghton, G.R., Jefferson, R.J.: A method for analysis of back shape in scoliosis. J. Biomech. 21, 497–509 (1988)

    Article  Google Scholar 

  8. Sotoca, J.M., Buendía, M., Iñesta, J.M., Ferri, F.J.: Geometric properties of the 3D spine curve. Lect. Notes Comput. Sci. Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinform. 2652, 1003–1011 (2003)

    Google Scholar 

  9. Di Angelo, L., Di Stefano, P.: Bilateral symmetry estimation of human face. Int. J. Interact. Des. Manuf. 7, 217–225 (2013). https://doi.org/10.1007/s12008-012-0174-8

    Article  Google Scholar 

  10. Di Angelo, L., Di Stefano, P.: A computational method for bilateral symmetry recognition in asymmetrically scanned human faces. Comput. Aided Des. Appl. 11, 275–283 (2014). https://doi.org/10.1080/16864360.2014.863487

    Article  Google Scholar 

  11. Huysmans, T., Haex, B., Wilde, T.D., Audekercke, R.V., Sloten, J.V., Perre, G.V.D.: A 3D active shape model for the evaluation of the alignment of the spine during sleeping. Gait Posture 24, 54–61 (2006). https://doi.org/10.1016/j.gaitpost.2005.07.002

    Article  Google Scholar 

  12. Huysmans, T., Haex, B., Van, A., Vander, S., Van, D.P.: Three-dimensional mathematical reconstruction of the spinal shape, based on active contours. J. Biomech. 37, 1793–1798 (2004). https://doi.org/10.1016/j.jbiomech.2004.01.020

    Article  Google Scholar 

  13. Santiesteban, Y., Sanchiz, J.M., Sotoca, J.M.: A method for detection and modeling of the human spine based on principal curvatures. Lect. Notes Comput. Sci. Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinform. 4225, 168–177 (2006)

    Google Scholar 

  14. Di Angelo, L., Di Stefano, P., Vinciguerra, M.G.: Experimental validation of a new method for symmetry line detection. Comput. Aided Des. Appl. 8, 71–86 (2011). https://doi.org/10.3722/cadaps.2011.71-86

    Article  Google Scholar 

  15. Di Angelo, L., Di Stefano, P., Spezzaneve, A.: An iterative method to detect symmetry line falling far outside the sagittal plane. Int. J. Interact. Des. Manuf. 6, 233–240 (2012). https://doi.org/10.1007/s12008-012-0152-1

    Article  Google Scholar 

  16. Di Angelo, L., Di Stefano, P., Spezzaneve, A.: Symmetry linedetection for non-erected postures. Int. J. Interact. Des. Manuf. 7, 271–276 (2013). https://doi.org/10.1007/s12008-012-0168-6

    Article  Google Scholar 

  17. Di Angelo, L., Di Stefano, P., Spezzaneve, A.: A method for 3D detection of symmetry line in asymmetric postures. Comput. Methods Biomech. Biomed. Eng. 16, 1213–1220 (2013). https://doi.org/10.1080/10255842.2012.659245

    Article  Google Scholar 

  18. Drerup, B., Ellger, B., Meyer, zu B., Hierholzer, E.: Functional examinations with rasterstereography. A new method for the biomechanical analysis of skeletal geometry. Orthopade 30, 242–250 (2001). https://doi.org/10.1007/s001320050603

    Article  Google Scholar 

  19. Vallone, M., Naddeo, A., Cappetti, N., Califano, R.: Comfort driven redesign methods: an application to mattresses production systems. Open Mech. Eng. J. 9, 492–507 (2015). https://doi.org/10.2174/1874155X01509010492

    Article  Google Scholar 

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  1. Department of Industrial Engineering, University of Salerno, Fisciano, Italy

    Nicola Cappetti & Alessandro Naddeo

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  1. Nicola Cappetti
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  2. Alessandro Naddeo
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Correspondence to Nicola Cappetti.

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Cappetti, N., Naddeo, A. On methods to identify the symmetry line of human back. Int J Interact Des Manuf 12, 1265–1271 (2018). https://doi.org/10.1007/s12008-018-0503-7

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