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dc.contributorSchool of Fashion and Textilesen_US
dc.contributor.advisorYick, Kit-lun (SFT)en_US
dc.contributor.advisorYip, Joanne (SFT)en_US
dc.creatorLiu, Qilong-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/12914-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic Universityen_US
dc.rightsAll rights reserveden_US
dc.titleUltra-dense motion capture algorithm for breast biomechanical modelling in design of sports brasen_US
dcterms.abstractThis thesis presents a comprehensive approach to facilitate breast biomechanics research and ergonomic sports bra design. The study involves three main components: dynamic 4D scanning of the female subject during running, dense tracking of breast deformation, and finite element modeling with material properties fine-tuning using 4D scanning data. The innovative use of 4D scanning technology captures whole-surface information of the human body during dynamic activities, providing high-temporal and spatial resolutions mesh data for analysis. Based on the anthropometric landmarks labelled from the 4D scanning sequence, the overall trajectories and the accumulated regional displacement of the breast soft tissues, as well as the distribution of deformation intensity can be precisely analyzed. Results indicated that the accumulated trajectory lengths of different landmarks range from 50 cm to 80 cm. Of which, the vertical and lateral swinging are the primary movement trends of the breasts during running. The large trajectory differences (48.6%) amongst the landmarks also confirm the highly nonlinear deformation patterns of the breasts during dynamic motion.en_US
dcterms.abstractA robust dense tracking method, the Ultra-dense Motion Capture (UdMC) algorithm, is proposed to capture the dense whole-surface deformation profile of the breasts, advancing the traditional motion capture technology from the sparse landmark level to the dense surface level. Comprehensive evaluation shown that our approach significantly outperforms previous works in accuracy, consistency, and efficiency. With reference to the complete 120 fps dataset, the average errors are found as 0.43cm for the control-landmarks and 0.78cm for the non-control (arbitrary) points. As compared to the traditional approach, the calculation speed of the proposed UdMC algorithm is 40-200 times faster.en_US
dcterms.abstractLastly, a subject-specific finite element (FE) model is constructed and fine-tuned with the dense deformation profile captured by UdMC, making it capable to align with the realistic breast behavior more reliably. To facilitate efficient determination of the subject-specific Mooney-Rivlin material parameters, the principle parameters inflation scheme was proposed to transform the optimization problem from the 5 dimensional space search to the 2 dimensional space search. This FE breasts model has successfully simulated and predicted the characteristics and response of the breasts when wearing different sports bra with varying design factors, which has significant application value in breasts soft tissue biomechanics research as well as validating and optimizing sports bras prototype designs.en_US
dcterms.extentxv, 110 pages : color illustrationsen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued2024en_US
dcterms.educationalLevelM.Phil.en_US
dcterms.educationalLevelAll Masteren_US
dcterms.LCSHBrassieres -- Designen_US
dcterms.LCSHHuman mechanicsen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsopen accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/12914