The Experts below are selected from a list of 3693 Experts worldwide ranked by ideXlab platform
Yan Zhao - One of the best experts on this subject based on the ideXlab platform.
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HCI (17) - Study on the Body Shape of Middle-Aged and Old Women for Garment Design
Lecture Notes in Computer Science, 2015Co-Authors: Yan ZhaoAbstract:The purpose of this paper is to study and determine the body shape parameters of middle-aged and old women for garment design to satisfy their needs of garment fitness. The body shape of middle-aged and old women who have been more than 50 years of age in North China, were measured by garment specialty students. The measure covered height, shoulder width, bust, waist and hip circumference. The body shape data was collected from 108 different middle-aged and old women fem. And SPSS was used for statistical analysis to reveal the change of body shape about middle-age and old women then find out the issue of Size Designation and the body shape of middle-age and old women. Under this premise, the difference between chest circumference and abdominal circumference as the research focus. Not only can the study provide data for the costume design of middle-aged and old women, but also provide reference data for tessellate garment Size.
Elbieta Mielicka - One of the best experts on this subject based on the ideXlab platform.
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3D anthropometric algorithms for the estimation of measurements required for specialized garment design
Expert Systems With Applications, 2017Co-Authors: Ukasz Markiewicz, Marcin Witkowski, Robert Sitnik, Elbieta MielickaAbstract:A complete guide for anthropometric data acquisition from a 3D scan is introduced.A comparison with manual measurements and a state-of-the-art system is presented.Common 3D anthropometry problems and origins are discussed. 3D anthropometry is key to the automation and facilitation of tedious, costly, and time-consuming traditional anthropometric tasks such as the Size Designation of a specialized garment.This article provides a short survey of 3D anthropometry in garment design. The results show that due to a lack of detailed, complex analyses of the entire anthropometric procedure from a raw body scan to a set of anthropometric measurements, there was a need to prepare and describe a comprehensive system from scratch. The aim of this article is, therefore, to present the developed 3D anthropometric solution, along with fully documented algorithms for automatic measurement extraction from a 3D body scan, results of tests, and its validation.Based on a list of desired measurements, a general processing path was prepared. Its methods are described in detail, including algorithms for body segmentation, characteristic points localization (body landmarking), and final specific measurements of girth, arc, and linear lengths (widths and heights). Furthermore, pseudo-code for the algorithms and 3D description of the characteristic points is included in Appendices A and B. The scanning procedure and posture recommendations are explained. Finally, test results and analyses are presented.The validation dataset consisted of 40 subjects (21 male and 19 female volunteers) aged between 25 and 55 years, weighing from 55 to 105kg and 150 to 205cm tall. Each of the subjects was measured once manually and three times automatically by both our system and the Human Solutions system to check the repeatability of the consecutive measurements. The performance of the 3D anthropometric system was evaluated by comparing its output with the manual measurements treated as the best possible ground truth. The output was also compared with the results from a leading commercial 3D anthropometric scanning solution provided by Human Solutions GmbH. The accuracy of both systems was measured using both the relative percent and millimeter difference error. Consistency and absolute agreement between systems and manual measurements were evaluated using the Intraclass Correlation Coefficient (ICC) method. Finally, comparability between the manual and automated measurements was assessed according to ISO 20685. It appeared that for our system, only 5 out of 26 measurement types passed the highly demanding test from ISO 20685 and for the Human Solutions system, 3 out of 26 types passed the test. However, most of the accuracy, consistency, and absolute agreement results appeared to be on a satisfactory level according to garment design experts taking part in the project. Girth measurements were characterized by the highest degree of consistency and absolute agreement, while arc length measurements were still acceptable, but least satisfactory. The degrees of general consistency and absolute agreement between our system and manual measurements fell into the excellent interval of the ICC practical significance measure. These tests also showed high inter-rater agreement between the proposed system and the commercial one (the Human Solutions product). It appeared that the current version of the system can provide results relatively close to those of the state-of-the-art solution. However the system still needs further development and tests on a larger population, as it is not completely free of errors, particularly those resulting from improper body landmarking and inconsistent posture.
Norsaadah Zakaria - One of the best experts on this subject based on the ideXlab platform.
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Designation and validation of apparel Sizes for children and teenagers
Clothing for Children and Teenagers, 2016Co-Authors: Norsaadah ZakariaAbstract:The final step in sizing system development is the development of Size Designation in the form of a Size Designation table and Mondoform wordless pictograms. This chapter outlined the sizing systems developed based on the body types of the sample population, which were obtained from cluster analysis and verified using decision tree analysis. The sizing tables are developed for the samples and finally a Size Designation is created using Mondoform labeling. The Size labels convey Size information using numeric codes, which simplify the task of finding a good fit garment for consumers.
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Developing apparel sizing systems for children and teenagers
Clothing for Children and Teenagers, 2016Co-Authors: Norsaadah ZakariaAbstract:The sizing system is developed by presenting each cluster group that has good classification results. Classification rules summarized from previous chapter is used to show all Sizes according to four different groups sample groups according to the classified rules ( Table 7.17 and 7.18 Table 7.17 Table 7.18 ) from previous chapter. The sample groups also go through validation process whereby the confirmation of each group is confirmed for the entire system. After verification of groups, the Size development is completed to be used for all samples and specific Size Designation should be present.
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Anthropometry, Apparel Sizing and Design
2014Co-Authors: Deepti Gupta, Norsaadah ZakariaAbstract:Part 1 Anthropometric methods: Apparel sizing: Existing sizing systems and the development of new sizing systems Anthropometry and the design and production of apparel: An overview Anthropometric methods for apparel design: Body measurement devices and techniques Body shape analysis and identification of key dimensions for apparel sizing systems. Part 2 Analysing anthropometric data to develop sizing systems: Segmentation and classification of anthropometric data for the apparel industry National Size and shape surveys for apparel design The development of apparel sizing systems from anthropometric data Developing apparel sizing systems for particular groups Apparel Size Designation and labelling International apparel sizing systems and standardization of apparel Sizes Computer design and digital fit of clothing Wearing comfort using body motion analysis.
Ukasz Markiewicz - One of the best experts on this subject based on the ideXlab platform.
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3D anthropometric algorithms for the estimation of measurements required for specialized garment design
Expert Systems With Applications, 2017Co-Authors: Ukasz Markiewicz, Marcin Witkowski, Robert Sitnik, Elbieta MielickaAbstract:A complete guide for anthropometric data acquisition from a 3D scan is introduced.A comparison with manual measurements and a state-of-the-art system is presented.Common 3D anthropometry problems and origins are discussed. 3D anthropometry is key to the automation and facilitation of tedious, costly, and time-consuming traditional anthropometric tasks such as the Size Designation of a specialized garment.This article provides a short survey of 3D anthropometry in garment design. The results show that due to a lack of detailed, complex analyses of the entire anthropometric procedure from a raw body scan to a set of anthropometric measurements, there was a need to prepare and describe a comprehensive system from scratch. The aim of this article is, therefore, to present the developed 3D anthropometric solution, along with fully documented algorithms for automatic measurement extraction from a 3D body scan, results of tests, and its validation.Based on a list of desired measurements, a general processing path was prepared. Its methods are described in detail, including algorithms for body segmentation, characteristic points localization (body landmarking), and final specific measurements of girth, arc, and linear lengths (widths and heights). Furthermore, pseudo-code for the algorithms and 3D description of the characteristic points is included in Appendices A and B. The scanning procedure and posture recommendations are explained. Finally, test results and analyses are presented.The validation dataset consisted of 40 subjects (21 male and 19 female volunteers) aged between 25 and 55 years, weighing from 55 to 105kg and 150 to 205cm tall. Each of the subjects was measured once manually and three times automatically by both our system and the Human Solutions system to check the repeatability of the consecutive measurements. The performance of the 3D anthropometric system was evaluated by comparing its output with the manual measurements treated as the best possible ground truth. The output was also compared with the results from a leading commercial 3D anthropometric scanning solution provided by Human Solutions GmbH. The accuracy of both systems was measured using both the relative percent and millimeter difference error. Consistency and absolute agreement between systems and manual measurements were evaluated using the Intraclass Correlation Coefficient (ICC) method. Finally, comparability between the manual and automated measurements was assessed according to ISO 20685. It appeared that for our system, only 5 out of 26 measurement types passed the highly demanding test from ISO 20685 and for the Human Solutions system, 3 out of 26 types passed the test. However, most of the accuracy, consistency, and absolute agreement results appeared to be on a satisfactory level according to garment design experts taking part in the project. Girth measurements were characterized by the highest degree of consistency and absolute agreement, while arc length measurements were still acceptable, but least satisfactory. The degrees of general consistency and absolute agreement between our system and manual measurements fell into the excellent interval of the ICC practical significance measure. These tests also showed high inter-rater agreement between the proposed system and the commercial one (the Human Solutions product). It appeared that the current version of the system can provide results relatively close to those of the state-of-the-art solution. However the system still needs further development and tests on a larger population, as it is not completely free of errors, particularly those resulting from improper body landmarking and inconsistent posture.
Robert Sitnik - One of the best experts on this subject based on the ideXlab platform.
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3D anthropometric algorithms for the estimation of measurements required for specialized garment design
Expert Systems With Applications, 2017Co-Authors: Ukasz Markiewicz, Marcin Witkowski, Robert Sitnik, Elbieta MielickaAbstract:A complete guide for anthropometric data acquisition from a 3D scan is introduced.A comparison with manual measurements and a state-of-the-art system is presented.Common 3D anthropometry problems and origins are discussed. 3D anthropometry is key to the automation and facilitation of tedious, costly, and time-consuming traditional anthropometric tasks such as the Size Designation of a specialized garment.This article provides a short survey of 3D anthropometry in garment design. The results show that due to a lack of detailed, complex analyses of the entire anthropometric procedure from a raw body scan to a set of anthropometric measurements, there was a need to prepare and describe a comprehensive system from scratch. The aim of this article is, therefore, to present the developed 3D anthropometric solution, along with fully documented algorithms for automatic measurement extraction from a 3D body scan, results of tests, and its validation.Based on a list of desired measurements, a general processing path was prepared. Its methods are described in detail, including algorithms for body segmentation, characteristic points localization (body landmarking), and final specific measurements of girth, arc, and linear lengths (widths and heights). Furthermore, pseudo-code for the algorithms and 3D description of the characteristic points is included in Appendices A and B. The scanning procedure and posture recommendations are explained. Finally, test results and analyses are presented.The validation dataset consisted of 40 subjects (21 male and 19 female volunteers) aged between 25 and 55 years, weighing from 55 to 105kg and 150 to 205cm tall. Each of the subjects was measured once manually and three times automatically by both our system and the Human Solutions system to check the repeatability of the consecutive measurements. The performance of the 3D anthropometric system was evaluated by comparing its output with the manual measurements treated as the best possible ground truth. The output was also compared with the results from a leading commercial 3D anthropometric scanning solution provided by Human Solutions GmbH. The accuracy of both systems was measured using both the relative percent and millimeter difference error. Consistency and absolute agreement between systems and manual measurements were evaluated using the Intraclass Correlation Coefficient (ICC) method. Finally, comparability between the manual and automated measurements was assessed according to ISO 20685. It appeared that for our system, only 5 out of 26 measurement types passed the highly demanding test from ISO 20685 and for the Human Solutions system, 3 out of 26 types passed the test. However, most of the accuracy, consistency, and absolute agreement results appeared to be on a satisfactory level according to garment design experts taking part in the project. Girth measurements were characterized by the highest degree of consistency and absolute agreement, while arc length measurements were still acceptable, but least satisfactory. The degrees of general consistency and absolute agreement between our system and manual measurements fell into the excellent interval of the ICC practical significance measure. These tests also showed high inter-rater agreement between the proposed system and the commercial one (the Human Solutions product). It appeared that the current version of the system can provide results relatively close to those of the state-of-the-art solution. However the system still needs further development and tests on a larger population, as it is not completely free of errors, particularly those resulting from improper body landmarking and inconsistent posture.