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

2021 ◽  
Vol 11 (2) ◽  
pp. 24-28
Author(s):  
Mong Hien Thi Nguyen ◽  
◽  
Minh Hieu Tran ◽  
Keyword(s):  
Fuzzy Logic ◽  
Body Shape ◽  
Optimization Method ◽  
Face To Face ◽  
Automatic Estimation ◽  
Optimal Function ◽  
Sizing System ◽  
Normal Vectors ◽  
Body Shapes ◽  
Body Scanner

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

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Eonyou Shin ◽  
Elahe Saeidi
Keyword(s):  
Body Shape ◽  
The Body ◽  
Whole Body ◽  
Body Measurements ◽  
Obese Women ◽  
Content Type ◽  
The Us ◽  
Sizing System ◽  
Body Shapes ◽  
Apparel Fit

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.

Stratified body shape-driven sizing system via three-dimensional digital anthropometry for compression textiles of lower extremities

2017 ◽  
Vol 88 (18) ◽  
pp. 2055-2075 ◽  
Author(s):  
Rong Liu ◽  
Xia Guo ◽  
Qiujin Peng ◽  
Le Zhang ◽  
Terence T Lao ◽  
...  
Keyword(s):  
Body Shape ◽  
Three Dimensional ◽  
Lower Extremities ◽  
The Body ◽  
Lower Limbs ◽  
Sample Population ◽  
Shape Variation ◽  
Dynamic Interactions ◽  
Sizing System ◽  
Body Shapes

Poor fit has become one of reasons for high non-compliance in the use of garments made of compression textiles in venous deficiency treatments. A novel methodology to categorize lower body shapes and sizes has been established via three-dimensional digital anthropometric technology in this study based on 208 Hong Kong subjects aged 40–60 years. Three new parameters were introduced to classify body shapes, namely the “A-angle” for assessing the “alignment” of lower extremities, the “cosine values of the key angle” at the turning point for below-knee shape determination, and “gradient” for above-knee shape categories. The mathematical simulation via the interpolation function was employed to explore the characteristics of shape variation trends with the involvement of dynamic interactions of both circumferences ( Cir) and heights ( Hei) of lower extremities. The clustering analysis quantitatively segmented the sample population into three stratified leg morphologies (i.e. diamond, inverted trapezoid, and balanced leg shapes) in terms of the determined anthropometric landmarks along the lower extremities, in which the C ir( s) of the brachial ( cB1), calf ( cC), and thigh ( cF) exhibited most obvious differences among the clustered lower limbs. The created stratified shape-driven sizing system and methodologies further involved the body shape classifications into the Cir-based size categories to cater for diverse body morphologies in product size selection, thus improving dimensional fitness and accurate treatment using compression textiles in practice.

Sistem Kontrol Optimal Fuzzy-Particle Swarm Optimization

2018 ◽  
Vol 9 (1) ◽  
pp. 1-5
Author(s):  
Fachrudin Hunaini ◽  
Imam Robandi ◽  
Nyoman Sutantra
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Control System ◽  
Membership Function ◽  
Fuzzy Logic Control ◽  
Particle Swarm ◽  
Optimization Method ◽  
Swarm Optimization ◽  
Motion Error ◽  
Logic Control

Fuzzy Logic Control (FLC) is a reliable control system for controlling nonlinear systems, but to obtain optimal fuzzy logic control results, optimal Membership Function parameters are needed. Therefore in this paper Particle Swarm Optimization (PSO) is used as a fast and accurate optimization method to determine Membership Function parameters. The optimal control system simulation is carried out on the automatic steering system of the vehicle model and the results obtained are the vehicle's lateral motion error can be minimized so that the movement of the vehicle can always be maintained on the expected trajectory

scholarly journals SmartFit: Smartphone Application for Garment Fit Detection

Electronics ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 97
Author(s):  
Kamrul H. Foysal ◽  
Hyo Jung Chang ◽  
Francine Bruess ◽  
Jo Woon Chong
Keyword(s):  
Body Shape ◽  
Online Shopping ◽  
Smartphone Application ◽  
Shape Detection ◽  
Time Saving ◽  
Apparel Shopping ◽  
Promising Solution ◽  
Clothing Fit ◽  
Body Shapes ◽  
Garment Fit

The apparel e-commerce industry is growing day by day. In recent times, consumers are particularly interested in an easy and time-saving way of online apparel shopping. In addition, the COVID-19 pandemic has generated more need for an effective and convenient online shopping solution for consumers. However, online shopping, particularly online apparel shopping, has several challenges for consumers. These issues include sizing, fit, return, and cost concerns. Especially, the fit issue is one of the cardinal factors causing hesitance and drawback in online apparel purchases. The conventional method of clothing fit detection based on body shapes relies upon manual body measurements. Since no convenient and easy-to-use method has been proposed for body shape detection, we propose an interactive smartphone application, “SmartFit”, that will provide the optimal fitting clothing recommendation to the consumer by detecting their body shape. This optimal recommendation is provided by using image processing and machine learning that are solely dependent on smartphone images. Our preliminary assessment of the developed model shows an accuracy of 87.50% for body shape detection, producing a promising solution to the fit detection problem persisting in the digital apparel market.

scholarly journals Effects Of Combinations Of Patternmaking Methods And Dress Forms On Garment Appearance

2017 ◽  
Vol 17 (3) ◽  
pp. 277-286 ◽  
Author(s):  
Chinami Fujii ◽  
Masayuki Takatera ◽  
KyoungOk Kim
Keyword(s):  
Sensory Evaluation ◽  
Body Shape ◽  
Front Side ◽  
Calculation Methods ◽  
Ideal Body ◽  
Sensory Evaluations ◽  
Body Shapes ◽  
Made In ◽  
The Ideal

AbstractWe investigated the effects of the combinations of patternmaking methods and dress forms on the appearance of a garment. Six upper garments were made using three patternmaking methods used in France, Italy, and Japan, and two dress forms made in Japan and France. The patterns and the appearances of the garments were compared using geometrical measurements. Sensory evaluations of the differences in garment appearance and fit on each dress form were also carried out. In the patterns, the positions of bust and waist darts were different. The waist dart length, bust dart length, and positions of the bust top were different depending on the patternmaking method, even when the same dress form was used. This was a result of differences in the measurements used and the calculation methods employed for other dimensions. This was because the ideal body shape was different for each patternmaking method. Even for garments produced for the same dress form, the appearances of the shoulder, bust, and waist from the front, side, and back views were different depending on the patternmaking method. As a result of the sensory evaluation, it was also found that the bust and waist shapes of the garments were different depending on the combination of patternmaking method and dress form. Therefore, to obtain a garment with better appearance, it is necessary to understand the effects of the combinations of patternmaking methods and body shapes.

Application of Fuzzy Logic and Fuzzy Optimization Techniques in Medical Image Processing

Biometrics ◽  
2017 ◽  
pp. 907-932 ◽  
Author(s):  
Niladri Sekhar Datta ◽  
Himadri Sekhar Dutta ◽  
Koushik Majumder
Keyword(s):  
Mathematical Model ◽  
Fuzzy Logic ◽  
Optimization Technique ◽  
Fuzzy Optimization ◽  
Fuzzy Model ◽  
Optimization Method ◽  
Fuzzy Modeling ◽  
Optimization Techniques ◽  
Fuzzy Variables ◽  
Truth Value

Fuzzy logic deals with approximate rather than fixed and exact reasoning. Fuzzy variables may have a truth value that ranges in degree between 0 and 1; extended to handle the concept of partial truth where the truth value may range between completely true or completely false. This computational logic uses truth degrees as a mathematical model of the vagueness phenomenon while probability is a mathematical model of ignorance. A huge number of complex problems may be solve using Fuzzy logic specifically Fuzzy modeling and optimization method. Fuzzy modeling is the understanding of the problem and analysis of the Fuzzy information where the Fuzzy optimization solves Fuzzy model optimally using optimization techniques via membership functions. In this research article authors describe the Fuzzy rules and its application and the different types of well known problems solved by the Fuzzy optimization technique.

A Nonlinear Fuzzy Logic Controller Developed for an Autonomous Surface Boat

2005 ◽  
Author(s):  
Thomas A. Bean ◽  
Akira Okamoto ◽  
John R. Canning ◽  
Dean B. Edwards
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Optimization Method ◽  
Operating Point ◽  
Linear Feedback ◽  
Control Law ◽  
Linear Feedback Control ◽  
Linear Controller ◽  
Optimal Linear ◽  
Optimal Set

This paper presents an optimized nonlinear fuzzy logic controller designed for an autonomous surface craft and describes the process by which it was found. The nonlinear fuzzy logic controller described herein was developed to maintain the linear feedback control of an optimal set of controller gains when the state is near the operating point. The simplex optimization method was utilized to find the optimal fuzzy logic parameters that define the shape of the control law away from the normal operating point. The resultant controller showed approximately a 20% improvement over the optimal linear controller.

Prediction on Aging of Reconstitutive Clayey Marine Soils Using Fuzzy-Logic

2003 ◽  
Author(s):  
Jorge Sa´nchez Moreno ◽  
Edison Castro Prates de Lima ◽  
Gilberto Bruno Ellwanger
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Rule ◽  
Experimental Tests ◽  
Optimization Method ◽  
Soil Strength ◽  
Evolutionary Strategy ◽  
Rule Base ◽  
Engineering Practice ◽  
Aging Effects ◽  
Effective Normal Stress

This paper presents an application of the fuzzy logic theory for the prediction of the soil strength depth variation due to aging effects. The results of experimental tests with reconstituted clayey soils of the Bay of Campeche in Mexico were used for the fuzzy rule-based system training. The Evolutionary Strategy (ES) was employed as an optimization method for the learning of the Mamdani-type fuzzy rule base. Fuzzy logic provides an easy and transparent method for incorporating common-sense type reasoning. The fuzzy logic model is based on a decision (inference) process that can be better described on a linguistic level using rules with soft facts. In this manner the clay soil strength through the time could be fuzzily predicted as a function of the mean effective normal stress, the time of consolidation and the water content. Illustrative examples showed that the result of prediction seems to be acceptable in engineering practice.

scholarly journals B8-1　An Analysis of Characteristics of Korean Females' Lower Body Shape Using Fuzzy Logic and Classification Methods

2017 ◽  
Vol 53 (Supplement2) ◽  
pp. S632-S635
Author(s):  
Sung Hee Ahn ◽  
Donggun Park ◽  
Hyung Min Sim ◽  
Cherry Yieng Siang Ling ◽  
Myung Hwan Yun
Keyword(s):  
Fuzzy Logic ◽  
Body Shape ◽  
Lower Body ◽  
Classification Methods
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