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Lower body gait analysis through real time gait parameter measurements using KINECT
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Mahmood, Bashar Abdulaziz. Lower body gait analysis through real time gait parameter measurements using KINECT. Retrieved from https://doi.org/doi:10.7282/T3WD429P

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TitleLower body gait analysis through real time gait parameter measurements using KINECT
NameMahmood, Bashar Abdulaziz (author); Zhang, Yanyong (chair); Trappe, Wade (internal member); Lindqvist, Janne (internal member); Rutgers University; Graduate School - New Brunswick
Date Created2015
Other Date2015-01 (degree)
SubjectElectrical and Computer Engineering, Gait in humans, Kinect (Programmable controller), Ankle
Extent1 online resource (vii, 41 p. : ill.)
DescriptionGait 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.
NoteM.S.
NoteIncludes bibliographical references
Noteby Bashar Abdulaziz Mahmood
Genretheses, ETD graduate
Persistent URLhttps://doi.org/doi:10.7282/T3WD429P
Languageeng
CollectionGraduate School - New Brunswick Electronic Theses and Dissertations
Organization NameRutgers, The State University of New Jersey
RightsThe author owns the copyright to this work.
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