A Statistical Model for Analyzing Anthropometric Data and Developing Clothing Sizing Systems for Libyan School Children

A garment sizing system is essential for effective clothing design and production. A sizing system classifies a specific population into homogeneous subgroups based on some key dimensions. Persons of the same subgroup have the same body shape characteristics, and share the same garment size. Anthropometric data plays important role in creating clothing sizing system. The current work represents the sixth step towards the overall goal of developing the Libyan children’s clothing standards system based on physical measurements of the human body of Libyan schoolchildren. The objective of the current work is to study the physical measurements of students aged 6 to 17 years in the stages of primary, secondary. The body measurements of school children in Benghazi were collected and analyzed using simple statistics methods to understand the body ranges and current of student in all stages to develop the system sizing. The measurements were collected from previous projects. Some measurements were collected to complement a work of 90 (male and female) students between 6, 7 and 8 years old from a school in Benghazi. ANOVA test was used to determine differences between age groups.

Automatic Estimation of Body Measurements to Extract the Size and Body Shape

This paper presents the research results of automatic estimation of the neck girth and inside leg to extract the size and body shape from the male sizing system table. The data used in the study is the 3D scan file *.obj from the 3D body scanner. The author uses the interpolation and optimization method in the algorithm to automatically extract 2 primary dimensions combined with the fuzzy logic method to extract sizes, body shapes. Besides, rotate matrix method combines with the optimal function used to write an algorithm to estimate the neck girth, inside leg measurements. Furthermore, a simple approach based on vertices and surface normal vectors data and optimal search was adapted to estimate the neck girth and inside leg measurements. These extraction results will be linked to the algorithm of the fuzzy logic to run for the automated process. This automatic algorithm will be very useful in face-to-face clothing purchases or online or for garment manufacturers in reducing shopping time and choosing sizes to design samples for customers.

Body shapes and apparel fit for overweight and obese women in the US: the implications of current sizing system

PurposeThe purpose of this study was to categorize the whole body shapes of overweight and obese females in the US and examine apparel fit based on the current ASTM sizing standards related to the body shapes categorized.Design/methodology/approachBody scan data from 2,672 subjects were used. To categorize their whole body shapes using 97 body measurements, principal component analysis with varimax rotation, a hierarchical cluster analysis and K-means cluster analysis were used. To compare the ASTM sizing standards for plus sizes (curvy and straight) and missy sizes (curvy and straight), five body parts (bust, under bust, waist, top hip, hip) using the formula for fit tolerance (measurement plus half of the interval) were compared with the ASTM sizing standards to determine the size appropriate for each body part.FindingsFive whole body shapes among overweight and obese females in the US were categorized: Rectangle-curvy; parallelogram-moderately curvy; parallelogram-hip tilt; inverted trapezoid-moderately curvy and inverted trapezoid-hip tilt. When the body measurements in each body shape were compared with the current ASTM sizing systems for both misses and plus sizes, four-fifths or more of overweight and obese female adults in the US would find it difficult to obtain a perfect fit for both tops and bottoms.Originality/valueIdentifying whole body shapes among overweight and obese women in the US contributes significantly, as it will help apparel companies that target the markets of larger women develop a new sizing system. This study is the first attempt to analyze fit by comparing the ASTM sizing charts with body measurements in each body shape group. Further, the study contributes to the body-related literature by filling gaps in missing whole BS categories among overweight and obese females.

Data Mining Anthropometric Parameters for the Design and Sizing of Female Full Body Protector

Since the entry of female troops in different paramilitary forces, there is a dearth of well-fitted personal protective gear for them to maximise operational safety and protection. A mismatch of anthropometry in design adversely affected the user’s performance during critical operation, compromising the safety and well-being of an individual. A detailed anthropometry-based sizing study was conducted by the research team, on the Indian female paramilitary troops for proper sizing of their protective gears and ensembles. An anthropometric survey of 325 female para-military troops, posted in two locations with age ranged from 21 to 54 years (mean ± SD) value: 37.14 ± 8.49 years was done. Each subject’s 28 different body dimensions were taken. The data was then investigated using the factor analysis method. Principal component analysis technique was used to reduce the variables to similar factor components where, two components with an Eigenvalue of more than 1 were selected. viz. Principal component 1 (girth dimensions) and Principal component 2 (abdomen or waist dimension). These two key variables were used to divide the population into three separate clusters using the K-means cluster method. These cluster groups were validated using a regression tree. Descriptive statistical analysis of data was conducted followed by Cluster analysis (of key components shortlisted) using Statistical Product and Service Solution (SPSS) version 21. The current study was the first complete anthropometric survey of Indian female paramilitary personnel for the development of a female-specific sizing system for a full-body protector (FBP) design resulting is an improved fit of full-body protector.

A 3D Printed Physical Human–Robot Interface Based on a Sizing System to Facilitate Customization: Wearable Robots for Paraplegia

Wearable robots that assist paraplegia patients should be manufactured according to the shape of the individual wearer. With the development of advanced three-dimensional (3D) printing technologies, such customizations are becoming available. However, conventional 3D printing customization requires extensive template remodeling, which is non-productive and inefficient. This study proposes a 3D-printed (3DP) physical human–robot interface (pHRI) based on a sizing system that facilitates customization to body shapes. The proposed system is a pre-developed pHRI in various sizes and shapes using a human body shape database. Conformity of shapes and dimensions were evaluated visually via shape deviation analysis for 10 persons having paraplegia. With the proposed 3DP-pHRI, the trunk comprised 18 sections and the shank comprised nine. A biased trend of coverage rates in the shank 3DP-pHRI size system was identified. The trunk and shank subsystems were found to be adequate in terms of shapes and dimensions, with values within the mean deviation range of ±10 mm. A novel 3DP-pHRI size system facilitating customization tool for fabricating wearable robots for paraplegia patients according to body shape was developed, and its effectiveness was assured. The new system can be used for various wearable robot pHRIs, and the database is expected to supply a comprehensive pHRI template library.

Body measurements with 3D body scanner: the case of female population in Saudi Arabia

Purpose The purpose of this paper was to develop the first standard apparel sizing system for Saudi adult female population originating from anthropometric study using three-dimensional (3D) body scanner. Design/methodology/approach An anthropometric survey was conducted in four regions of the country where 1,074 participants between the ages of 18 and 63 were scanned using white light 3D body scanner. K-means cluster analysis using stature and hip girth as control variables produced the proposed sizing system, whereas regression equations were used to determine the parameters between measurements of different sizes. Findings Three sizing groups with 12 size designations in each totalling 36 size designations were identified. The sizing charts developed in this study show that key girth measurement ranges of chest, waist and hips are comparable to that of ISO standard and (ASTM D5585-11), while the Saudi female population falls into shorter height brackets than ISO and ASTM standards. Originality/value In this study, the first anthropometric database for Saudi female population was established using 3D body scanning technology, and a sizing system for this target population was developed.

Sizing and Analysis of Micro-grid System for 100 % RES for residential house Using HOMER Software

In this century, the world interested in renewable energy sources (RES) because of their advantages compared to traditional sources. This paper studies off grid 100 % RES for residential house. This residential house is located at Qena Governorate in Egypt country. Hybrid Optimization Multiple For Electric Renewable (HOMER) is a software tool which we used to size this system with minimum cost .By entering data for load demand, location and economic parameter for the system HOMER has simulinked an optimal sizing system with low cost .The final optimal system result is 4 kW PV, 4 wind turbine, 2 kW converter, 18 batteries, NPC $44, 697, house load 10 kW with 11% reserve load.