Accuracy and Precision in Marker-based Motion Capture

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dc.contributor.advisorRylander, Jonathan.
dc.contributor.authorYoung, Vivian
dc.contributor.departmentMechanical Engineering.en_US
dc.contributor.otherBaylor University.en_US
dc.contributor.otherJenny Tavaresen_US
dc.contributor.schoolsHonors College.en_US
dc.date.accessioned2019-05-22T15:34:46Z
dc.date.available2019-05-22T15:34:46Z
dc.date.copyright2019
dc.date.issued2019-05-22
dc.description.abstractOne of the biggest challenges in marker-based motion capture is maintaining accuracy and precision. The prominence of this issue is due to the common method of placing markers by hand, the reliance on anatomical landmarks, and soft tissue artifacts. The resulting error in the data translates kinematically, which may lead to faulty results and conclusions. However, accuracy and precision can be improved by determining an appropriate motion capture model to use, using marker placement devices, or by utilizing medical imaging. By compiling information from studies and literature in the motion capture field, this thesis provides an overview of sources of error and how to combat error in marker-based motion capture and may act as an introductory resource to these topics. In addition, this thesis presents preliminary validation testing that was performed on a marker replacement device.en_US
dc.identifier.urihttps://hdl.handle.net/2104/10581
dc.language.isoen_USen_US
dc.rightsBaylor University projects are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. Contact libraryquestions@baylor.edu for inquiries about permission.en_US
dc.rights.accessrightsWorldwide accessen_US
dc.subjectBiomotion.en_US
dc.subjectMotion capture.en_US
dc.subjectError.en_US
dc.subjectKinematics.en_US
dc.subjectValidation testing.en_US
dc.titleAccuracy and Precision in Marker-based Motion Captureen_US
dc.typeThesisen_US

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