Markerless shank and foot segmentation and skeletonization for lower limb 2-D movement analysis during the stance phase in gait
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Data di Pubblicazione:
2008
Citazione:
Markerless shank and foot segmentation and
skeletonization for lower limb 2-D movement analysis during the stance phase in gait / E. Surer, E. Grosso, U. Della Croce. ((Intervento presentato al 1st. convegno Primo Congresso Nazionale di Bioingegneria (GNB’2008) tenutosi a Pisa nel 2008.
Abstract:
A method for analyzing the 2-D movement of the shank and foot complex during stance is
presented. A single camera acquiring at 50 frames per second was positioned laterally to the
subject in order to obtain an approximate sagittal view of the shank and foot during the stance
phase. Experiments were performed in two conditions: with the subject barefoot and wearing
socks. Shank and foot were first separated from the background and then shank, rear-foot and
fore-foot were identified. The background/foreground separation (segmentation) was
achieved by using Mixture of Gaussians (MoG) method while the lower limb segment
definition (skeletonization) was done by using Medial Axis Transform (MAT). The results of
the segmentation showed that the presence of socks did not affect the performance of the
segmentation algorithm. The skeletonization showed that a three-segmented model could
successfully be fit to the portion of the lower limb under analysis. For each frame of the
stance phase, three lines representing the three segments could be fit to the skeletonized
images and therefore a full 2-D movement analysis could be obtained. The proposed method
not only represents a good alternative to marker-based methods but also offers at least two
potential advantages: the option of wearing socks during the trials and the possibility of
describing the relative movement between fore-foot and rear-foot.
Tipologia IRIS:
14 - Intervento a convegno non pubblicato
Elenco autori:
E. Surer, E. Grosso, U. Della Croce
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