Integration of Multiple Low-Cost Wearable Inertial/Magnetic Sensors and Kinematics of Lower Limbs for Improving Pedestrian Navigation Systems

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dc.contributor.advisorO'Keefe, Kyle
dc.contributor.authorTjhai, Chandra
dc.contributor.committeememberEl-Sheimy, Naser M
dc.contributor.committeememberFerber, Reed
dc.contributor.committeememberDetchev, Ivan Denislavov
dc.contributor.committeememberWieser, Andreas
dc.date.accessioned2019-09-06T21:20:38Z
dc.date.available2019-09-06T21:20:38Z
dc.date.issued2019-07-25
dc.description.abstractThis thesis presents a work in pedestrian navigation that utilizes multiple low-cost wearable inertial/magnetic sensors and kinematics of lower limbs for improving the positioning performance. A multi-wearable sensor system is developed for this research in order to record the walking motion using multiple MPU-6050 and MPU-9250 sensors. The focus of this research is to investigate the feasibility of using multiple low-cost sensors distributed on lower limb segments as a pedestrian navigation system. The proposed method uses seven wearable sensor modules distributed on pelvis, thighs and shanks. A skeletal model consists of five limb segments is used to model the forward kinematics of lower limbs. Different attitude estimator algorithms are tested and compared. The step size and heading are computed using the forward kinematics. To evaluate the proposed navigation method, two experiments are conducted. The first experiment is a treadmill walk to evaluate the accuracy of the estimated segment orientation angles and step sizes. The second experiment involves turning motion where a test subject walks around a rectangular path. The results show that the use of a wearable multi-sensor system can provide a pedestrian navigation solution with error comparable to the solution computed using a single higher-cost sensor.en_US
dc.identifier.citationTjhai, C. (2019). Integration of Multiple Low-Cost Wearable Inertial/Magnetic Sensors and Kinematics of Lower Limbs for Improving Pedestrian Navigation Systems (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca.en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/36955
dc.identifier.urihttp://hdl.handle.net/1880/110877
dc.language.isoengen_US
dc.publisher.facultySchulich School of Engineeringen_US
dc.publisher.institutionUniversity of Calgaryen
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.en_US
dc.subjectinertial navigationen_US
dc.subjectpedestrian navigation systemen_US
dc.subjectpedestrian dead-reckoningen_US
dc.subjectwearable sensoren_US
dc.subjectwearable multi-sensor systemen_US
dc.subjectlow-cost sensoren_US
dc.subjectstep lengthen_US
dc.subjectstride lengthen_US
dc.subjectorientation estimationen_US
dc.subjectinertial/magnetic sensoren_US
dc.subjectkinematics of lower limbsen_US
dc.subjectforward kinematicsen_US
dc.subjectstep detectionen_US
dc.subjectgait event detectionen_US
dc.subject.classificationEngineering--Aerospaceen_US
dc.subject.classificationEngineering--Electronics and Electricalen_US
dc.subject.classificationRoboticsen_US
dc.titleIntegration of Multiple Low-Cost Wearable Inertial/Magnetic Sensors and Kinematics of Lower Limbs for Improving Pedestrian Navigation Systemsen_US
dc.typedoctoral thesisen_US
thesis.degree.disciplineEngineering – Geomaticsen_US
thesis.degree.grantorUniversity of Calgaryen_US
thesis.degree.nameDoctor of Philosophy (PhD)en_US
ucalgary.item.requestcopytrueen_US
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