Estimation of Muscle Activity in One-Leg Stance from 3D Surface Deformation

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dc.contributor.authorMetzler, Johannesen_US
dc.contributor.authorNeumann, Thomasen_US
dc.contributor.authorGassel, Stefanieen_US
dc.contributor.authorFriedrich, Jensen_US
dc.contributor.authorWacker, Markusen_US
dc.contributor.editorPuig Puig, Anna and Schultz, Thomas and Vilanova, Anna and Hotz, Ingrid and Kozlikova, Barbora and Vázquez, Pere-Pauen_US
dc.date.accessioned2018-09-19T15:19:49Z
dc.date.available2018-09-19T15:19:49Z
dc.date.issued2018
dc.description.abstractMuscular activity during human motion is usually quantified by measuring the electrical potential during muscle activation using electromyography (EMG). However, apart from producing electrical activity, muscular contraction of many skeletal muscles also induces subtle deformation of the skin surface. In this paper, we present a method to estimate muscular activation from such 3D skin deformation. To this end, we introduce a capture system that reconstructs the 3D motion of the skin from multi-view video data and simultaneously measures true muscle activity with EMG sensors. Our data reveals strong correlations between the skin deformation and muscular activity during one-leg stances. We propose a pose normalization procedure and a novel model based on Supervised Principal Component Regression that automatically segments individual muscles and estimates their activation from 3D surface deformation. Our evaluation shows that the model generalizes to varying body shapes and that the estimated activation closely fits the measured EMG data.en_US
dc.description.sectionheadersSurfaces
dc.description.seriesinformationEurographics Workshop on Visual Computing for Biology and Medicine
dc.identifier.doi10.2312/vcbm.20181241
dc.identifier.isbn978-3-03868-056-7
dc.identifier.issn2070-5786
dc.identifier.pages157-166
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/vcbm20181241
dc.identifier.urihttps://doi.org/10.2312/vcbm.20181241
dc.publisherThe Eurographics Associationen_US
dc.subjectApplied computing
dc.subjectLife and medical sciences
dc.titleEstimation of Muscle Activity in One-Leg Stance from 3D Surface Deformationen_US
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VCBM 18: Eurographics Workshop on Visual Computing for Biology and Medicine