Realistic Motion Estimation Using Accelerometers

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dc.contributor.authorXie, Liguangen
dc.contributor.committeechairCao, Yongen
dc.contributor.committeememberQuek, Francis K. H.en
dc.contributor.committeememberEhrich, Roger W.en
dc.contributor.departmentComputer Scienceen
dc.date.accessioned2014-03-14T21:38:53Zen
dc.date.adate2009-08-04en
dc.date.available2014-03-14T21:38:53Zen
dc.date.issued2009-06-18en
dc.date.rdate2009-08-04en
dc.date.sdate2009-06-19en
dc.description.abstractA challenging goal for both the game industry and the research community of computer graphics is the generation of 3D virtual avatars that automatically perform realistic human motions with high speed at low monetary cost. So far, full body motion estimation of human complexity remains an important open problem. We propose a realistic motion estimation framework to control the animation of 3D avatars. Instead of relying on a motion capture device as the control signal, we use low-cost and ubiquitously available 3D accelerometer sensors. The framework is developed in a data-driven fashion, which includes two phases: model learning from an existing high quality motion database, and motion synthesis from the control signal. In the phase of model learning, we built a high quality motion model of less complexity that learned from a large motion capture database. Then, by taking the 3D accelerometer sensor signal as input, we were able to synthesize high-quality motion from the motion model we learned. In this thesis, we present two different techniques for model learning and motion synthesis, respectively. Linear and nonlinear reduction techniques for data dimensionality are applied to search for the proper low dimensional representation of motion data. Two motion synthesis methods, interpolation and optimization, are compared using the 3D acceleration signals with high noise. We evaluate the result visually compared to the real video and quantitatively compared to the ground truth motion. The system performs well, which makes it available to a wide range of interactive applications, such as character control in 3D virtual environments and occupational training.en
dc.description.degreeMaster of Scienceen
dc.identifier.otheretd-06192009-152207en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-06192009-152207/en
dc.identifier.urihttp://hdl.handle.net/10919/43368en
dc.publisherVirginia Techen
dc.relation.haspartXie_MS_theiss.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectLocally linear embeddingen
dc.subjectPerformance animationen
dc.subjectOptimizationen
dc.subjectMotion synthesisen
dc.subjectAccelerometersen
dc.subjectInterpolationen
dc.titleRealistic Motion Estimation Using Accelerometersen
dc.typeThesisen
thesis.degree.disciplineComputer Scienceen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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