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Lower body gait analysis through real time gait parameter measurements using KINECT

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TitleInfo
Title
Lower body gait analysis through real time gait parameter measurements using KINECT
Name (type = personal)
NamePart (type = family)
Mahmood
NamePart (type = given)
Bashar Abdulaziz
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Bashar Abdulaziz Mahmood
Role
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author
Name (type = personal)
NamePart (type = family)
Zhang
NamePart (type = given)
Yanyong
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Yanyong Zhang
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Advisory Committee
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chair
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Wade
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Advisory Committee
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internal member
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Lindqvist
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Janne
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Janne Lindqvist
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Advisory Committee
Role
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internal member
Name (type = corporate)
NamePart
Rutgers University
Role
RoleTerm (authority = RULIB)
degree grantor
Name (type = corporate)
NamePart
Graduate School - New Brunswick
Role
RoleTerm (authority = RULIB)
school
TypeOfResource
Text
Genre (authority = marcgt)
theses
OriginInfo
DateCreated (encoding = w3cdtf); (qualifier = exact)
2015
DateOther (qualifier = exact); (type = degree)
2015-01
CopyrightDate (encoding = w3cdtf); (qualifier = exact)
2015
Place
PlaceTerm (type = code)
xx
Language
LanguageTerm (authority = ISO639-2b); (type = code)
eng
Abstract (type = abstract)
Gait analysis is one of the important areas of research, with applications including diagnosis, monitoring, and rehabilitation. Current gait analysis systems, such as those used in a laboratory or a clinic, are intrusive, expensive or require carefully tuned settings. This thesis presents an accurate low body gait analysis method that is low-cost, non-intrusive, and requiring no battery-powered sensors or markers. Instead, it conducts gait analysis using a Kinect sensor, which has been used in various research areas for its capabilities of obtaining full body gait information. Our study uses the change in joint positions provided by the Kinect’s virtual skeleton frames to extract lower body gait parameters. We propose a simple but efficient technique to measure stride and its two component intervals: stance and swing, using only the ankle joint of each leg. To measure the ground truth, we also build a wearable sensor that can obtain accurate stride information. We evaluate our system using two subjects and report their stride duration, stance and swing intervals. Our results show that our system has a mean difference less than 10ms from the ground truth, with an error of less than 1%. Our results show that looking at the ankle joint alone is sufficient to calculate lower-body gait parameters.
Subject (authority = RUETD)
Topic
Electrical and Computer Engineering
Subject (authority = ETD-LCSH)
Topic
Gait in humans
Subject (authority = ETD-LCSH)
Topic
Kinect (Programmable controller)
Subject (authority = ETD-LCSH)
Topic
Ankle
RelatedItem (type = host)
TitleInfo
Title
Rutgers University Electronic Theses and Dissertations
Identifier (type = RULIB)
ETD
Identifier
ETD_6143
PhysicalDescription
Form (authority = gmd)
electronic resource
InternetMediaType
application/pdf
InternetMediaType
text/xml
Extent
1 online resource (vii, 41 p. : ill.)
Note (type = degree)
M.S.
Note (type = bibliography)
Includes bibliographical references
Note (type = statement of responsibility)
by Bashar Abdulaziz Mahmood
RelatedItem (type = host)
TitleInfo
Title
Graduate School - New Brunswick Electronic Theses and Dissertations
Identifier (type = local)
rucore19991600001
Location
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NjNbRU
Identifier (type = doi)
doi:10.7282/T3WD429P
Genre (authority = ExL-Esploro)
ETD graduate
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Rights

RightsDeclaration (ID = rulibRdec0006)
The author owns the copyright to this work.
RightsHolder (type = personal)
Name
FamilyName
Mahmood
GivenName
Bashar
MiddleName
Abdulaziz
Role
Copyright Holder
RightsEvent
Type
Permission or license
DateTime (encoding = w3cdtf); (qualifier = exact); (point = start)
2015-01-05 01:04:59
AssociatedEntity
Name
Bashar Mahmood
Role
Copyright holder
Affiliation
Rutgers University. Graduate School - New Brunswick
AssociatedObject
Type
License
Name
Author Agreement License
Detail
I hereby grant to the Rutgers University Libraries and to my school the non-exclusive right to archive, reproduce and distribute my thesis or dissertation, in whole or in part, and/or my abstract, in whole or in part, in and from an electronic format, subject to the release date subsequently stipulated in this submittal form and approved by my school. I represent and stipulate that the thesis or dissertation and its abstract are my original work, that they do not infringe or violate any rights of others, and that I make these grants as the sole owner of the rights to my thesis or dissertation and its abstract. I represent that I have obtained written permissions, when necessary, from the owner(s) of each third party copyrighted matter to be included in my thesis or dissertation and will supply copies of such upon request by my school. I acknowledge that RU ETD and my school will not distribute my thesis or dissertation or its abstract if, in their reasonable judgment, they believe all such rights have not been secured. I acknowledge that I retain ownership rights to the copyright of my work. I also retain the right to use all or part of this thesis or dissertation in future works, such as articles or books.
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
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Technical

RULTechMD (ID = TECHNICAL1)
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ETD
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windows xp
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