Running Pattern Recognition in a Comfortable and an Uncomfortable Shoe Condition

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dc.contributor.advisorNigg, Benno Maurus
dc.contributor.advisorEdwards, William Brent
dc.contributor.authorManz, Sabina
dc.contributor.committeememberVon Tscharner, Vinzenz
dc.contributor.committeememberKuo, Arthur D.
dc.date2019-06
dc.date.accessioned2018-12-10T16:36:24Z
dc.date.available2018-12-10T16:36:24Z
dc.date.issued2018-12-07
dc.description.abstractThe diverse development of running shoes has mostly been driven by three functional factors: reducing injury risk, increasing performance, and increasing perceived comfort. The few studies that focused on comfort provide contradicting results. Comfort is a subjective impression, different for every individual, and is speculated to be one of the most important features of a running shoe, however, it is not well understood or quantifiable. As a result, comfort and its relationship to running biomechanics has not been established. The purpose of this study was to (a) distinguish movement patterns while running in a comfortable shoe condition from movement patterns while running in an uncomfortable shoe condition, (b) determine if these patterns are localized to a specific body segment, and (c) determine which classification tool (linear or spherical) yields the most conclusive results. The movement patterns while running in two different shoes were compared and classified using a support vector machine and spherical classification. The classifications were performed using accelerations and angular velocities from all five sensor locations as well as using subsets of the data. The highest classification (61.88%) was found using spherical classification and a subset of the data. Both classification tools resulted in low success rates. The running kinematics in this study were unaffected by a change in comfort. Keywords: running, pattern recognition, comfort, shoes, inertial measurement unitsen_US
dc.identifier.citationManz, S. (2018). Running Pattern Recognition in a Comfortable and an Uncomfortable Shoe Condition (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/34924en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/34924
dc.identifier.urihttp://hdl.handle.net/1880/109302
dc.language.isoeng
dc.publisher.facultyGraduate Studies
dc.publisher.facultyKinesiology
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
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.
dc.subjectrunning
dc.subjectpattern recognition
dc.subjectcomfort
dc.subjectshoes
dc.subjectinertial measurement units
dc.subject.classificationEducation--Sciencesen_US
dc.subject.classificationEducation--Technologyen_US
dc.subject.classificationEngineering--Biomedicalen_US
dc.titleRunning Pattern Recognition in a Comfortable and an Uncomfortable Shoe Condition
dc.typemaster thesis
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.item.requestcopytrue
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