Multiscale Curvature Assessment of Postural Deviations
This paper presents and discusses an effective approach to assessing human postural deviations based on curvature measurements. Multiscale curvature values are calculated from both parametric contours extracted from the silhouette image in sagittal plane and from the medial axis. The algorithms were applied to digital images of patients who have been submitted to Global Postural Reeducation (GPR) physiotherapy treatment. Features such as area, perimeter, center of mass, spreading, thinness degree and angulations are also obtained for similarity shape analysis between images taken before and after the GPR treatment. The medial axis is evaluated to investigate how it can be used to infer the spine alignment of patients with postural deviations prior to taking exams such as x-ray or tomography.
KeywordsMedial Axis Thinness Ratio Postural Deviation Postural Balance Physiotherapy Treatment
- 1.Souchar, P.E.: Ginástica Postural Global, 2nd edn. Martins Fontes, São Paulo (1988)Google Scholar
- 3.Koara, K., Nishikawa, A., Miyazaki, F.: Hierarchical part decomposition method of articulated body contour, and its application to human body motion measurement. In: Proc. on IEEE/RSJ International Conference on Intelligent Robots and Systems, Takamatsu Japan, October 31-November 5, vol. 3, pp. 2055–2060 (2000)Google Scholar
- 4.Cheikh, F., Quddus, A., Gabbouj, M.: Shape recognition based on wavelet-transform modulus maxima. In: The 7th IEEE International Conference on Electronics, Circuits and Systems, Jounieh Lebanon, December 2000, vol. 1, pp. 461–464 (2000)Google Scholar
- 5.Chang, C.C., Liu, C.: Modified curvature scale space feature alignment approach for hand posture recognition. In: Proc. on International Conference on Image Processing, Barcelona, September, vol. 3, pp. 309–312 (2003)Google Scholar
- 9.Jollife, I.T.: Principal Component Analysis. Springer, New York (1986)Google Scholar