Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/163176
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dc.titleAUTOMATIC AND COMPREHENSIVE GAIT MEASUREMENT AND ANALYSIS
dc.contributor.authorRONALD BOYD ANDERSON
dc.date.accessioned2019-12-31T18:01:38Z
dc.date.available2019-12-31T18:01:38Z
dc.date.issued2019-08-22
dc.identifier.citationRONALD BOYD ANDERSON (2019-08-22). AUTOMATIC AND COMPREHENSIVE GAIT MEASUREMENT AND ANALYSIS. ScholarBank@NUS Repository.
dc.identifier.urihttps://scholarbank.nus.edu.sg/handle/10635/163176
dc.description.abstractGait analysis is the measurement of quantities related to human locomotion. Some quantities of clinical interest such as step width are difficult to estimate using wearable sensors. We introduce a custom foot-mounted wearable gait analysis device based on Inertial Measurement Units (IMU) and Ultra Wideband (UWB) ranging technology. Our system is wireless, inexpensive, portable, and able to estimate important clinical measurements such as step width. We collect a dataset of over two-thousand steps across twenty-one healthy young people using our system and a clinical gold-standard walking mat concurrently. We then detail a baseline method for estimating important clinical gait metrics from normal walking using only UWB, only IMU, and a fusion of the two sensors. We test our system and algorithms using an asymmetric walking dataset, containing five different types of walks and compare against our ground truth measurements and IMU-only methods.
dc.language.isoen
dc.subjectgait analysis, ultra wideband, inertial measurement units, sensor fusion, wearable sensors, ranging technologies
dc.typeThesis
dc.contributor.departmentDEAN'S OFFICE (NGS FOR INTGR SCI & ENGG)
dc.contributor.supervisorWang Ye
dc.contributor.supervisorTan Yan Fu, Vincent
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY (NGS)
dc.identifier.orcid0000-0001-6762-0237
Appears in Collections:Ph.D Theses (Open)

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