[-] Show simple item record

dc.contributor.advisorSkubic, Margeeng
dc.contributor.authorWang, Fangeng
dc.date.issued2011eng
dc.date.submitted2011 Summereng
dc.descriptionTitle from PDF of title page (University of Missouri--Columbia, viewed on January 6, 2012).eng
dc.descriptionThe entire thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file; a non-technical public abstract appears in the public.pdf file.eng
dc.descriptionDissertation advisor: Dr. Marjorie Skubic.eng
dc.descriptionVita.eng
dc.descriptionIncludes bibliographical references.eng
dc.descriptionPh. D. University of Missouri--Columbia 2011.eng
dc.descriptionDissertations, Academic -- University of Missouri--Columbia -- Electrical and computer engineeringeng
dc.description"July 2011"eng
dc.description.abstractClinical research has identified a clear link between human gait characteristics and different medical conditions. We are particularly interested in gait and balance analysis for fall risk assessment in elderly people. This dissertation proposes the use of multiple inexpensive web cameras for three-dimensional gait and balance analysis in a voxelized space. The main advantages of this approach include low cost, unobtrusive monitoring compared to wearable sensors, and three-dimensional voxel reconstruction which provides a non-camera view-dependent capability. It is thus suitable for daily assessment and continuous monitoring of elderly people's non-controlled daily living environment. The gait parameters results are validated in lab settings as well as in a realistic retirement community setting. Excellent matching results were achieved when compared with Vicon motion capture system, GAITRite mat, and a physical therapist expert, which has provide us confidence in terms of the accuracy of the system performance. The various gait parameters extracted provide a detailed gait profile and can be easily used to screen out people at risk of fall. The system proposed here is inexpensive, has good accuracy verified by ground truth. The passive sensing nature of the system makes it ideal long term home gait monitoring to detect gait changes.eng
dc.format.extentxi, 115 pageseng
dc.identifier.oclc872560216eng
dc.identifier.urihttps://hdl.handle.net/10355/12411
dc.identifier.urihttps://doi.org/10.32469/10355/12411eng
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcollectionUniversity of Missouri--Columbia. Graduate School. Theses and Dissertations.eng
dc.titleMotion analysis for in-home gait and balance assessment using inexpensive video sensorseng
dc.typeThesiseng
thesis.degree.disciplineElectrical and computer engineering (MU)eng
thesis.degree.grantorUniversity of Missouri--Columbiaeng
thesis.degree.levelDoctoraleng
thesis.degree.namePh. D.eng


Files in this item

[PDF]
[PDF]
[PDF]

This item appears in the following Collection(s)

[-] Show simple item record