2-D Kinematics of the Shank and Foot Complex during Stance using Markerless Segmentation and Body-Segment Anatomical Axes Identification

Date

2008-10-31

Author

Sürer, Elif
Della Croce, Ugo

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In this work, a markerless motion capture method is proposed for the 2-D description of the movement of the shank and foot complex. The video sequences of subjects walking wearing socks or barefoot, were segmented isolating the moving regions from the background. Anatomical axes of a three-segment model of the shank and foot complex were identified using two different methods applied to the segmented images: 1) skeletonization and line detection and 2) cross-correlation of selected image regions. The axes identified were used to determine the kinematics on the sagittal plane of the two joints included in the model. Results from the segmentation of the images are independent from the presence of the socks, allowing the definition of more flexible acquisition protocols. Joint kinematics estimation with both methods appeared to be comparable to that obtained with more traditional marker-based methods. The cross-correlation method, which includes the calibration of the anatomy of the body-segments, may provide more robust solutions for the extension to a 3-D analysis of the shank and foot complex kinematics compared to the other proposed method.

Subject Keywords

Markerless human movement analysis, Shank and foot complex kinematics, Foot segmentation

URI

https://hdl.handle.net/11511/75759

DOI

https://doi.org/10.1016/j.gaitpost.2008.10.019

Conference Name

10th International Symposium on 3D Analysis of Human Movement,( 28 - 31 Ekim 2008)

Collections

Graduate School of Informatics, Conference / Seminar

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Citation Formats

E. Sürer and U. Della Croce, “2-D Kinematics of the Shank and Foot Complex during Stance using Markerless Segmentation and Body-Segment Anatomical Axes Identification,” presented at the 10th International Symposium on 3D Analysis of Human Movement,( 28 - 31 Ekim 2008), 2008, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/75759.