Anthropometric Size Chart for Ethiopian Girls for Better Garment Design

Alubel, Mulat; Yadav, Manisha; Singh, Nirmal

doi:10.4172/2329-9568.1000151

Cited by 4 publications

(1 citation statement)

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“…Mean and standard deviation ( SD ) are the data required to build the size range (Beazley, 1997); the size range can be derived by applying the mean and SD to include as many samples as possible in the absence of standardized values for setting the size ranges. Some previous studies also constructed size ranges using the mean and SD of anthropometric data (Adu‐Boakye et al, 2012; Alubel et al, 2017; Mpampa et al, 2010). Therefore, this study intends to derive the size ranges using the mean and SD based on the three anthropometric measurements discussed above.…”

Section: Prototype Designmentioning

confidence: 99%

Wearing comfort and perceived heaviness of smart glasses

Kim

Bahn

Yun

2021

Hum Ftrs & Erg Mfg Svc

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Smart glasses require additional structures to perform smart functions, which increases their weight and results in an uneven weight distribution. Excessive weight increase and weight balance issues could cause discomfort; thus, guidelines regarding the appropriate weight profile of smart glasses are needed. The aim of this study is to propose an acceptable weight for smart glasses to ensure user comfort. We derived the main form factors of smart glasses and designed a prototype based on face and head dimensions using a Korean anthropometric database. A total of 78 participants were asked to complete questionnaires related to wearing comfort, perceived heaviness, and sensory threshold. The relationship between wearing comfort and perceived heaviness was analyzed through correlation analysis, and regression analyses were performed to identify the threshold levels. As the weight of the prototype increased, the perceived heaviness score also increased. Perceived heaviness was negatively correlated with wearing comfort (p < .001, r = −.838). The regression analyses revealed that 39.13 g (R 2 = .897) and ±14.16 g (R 2 = .942) were the threshold levels for the perception of weight increase and weight balance difference, respectively. This study contributes to the design of smart glasses based on anthropometric data and makes recommendations regarding the weight profile of smart glasses. The findings are expected to help developers and researchers design more comfortable smart glasses and establish design guidelines for smart glasses.

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Section: Prototype Designmentioning

confidence: 99%

Wearing comfort and perceived heaviness of smart glasses

Kim

Bahn

Yun

2021

Hum Ftrs & Erg Mfg Svc

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Garment sizing system development for Amhara policemen uniforms using data mining techniques

Bizuneh,

Destaw,

Hailu

et al. 2023

RJTA

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Purpose Sizing system is a fundamental topic in garment fitting. The purpose of this study was to assess the fit of existing police uniforms (shirt, jacket, overcoat and trousers) and develop a sizing system for upper and lower body uniforms of Amhara policemen in Ethiopia. Design/methodology/approach In total, 35 body dimensions of 889 policemen were taken through a manual anthropometric survey following the procedures in ISO 8559:1989 after each subject was interviewed on issues related to garment fit. The anthropometric data were pre-processed, key body dimensions were identified by principal components analysis and body types were clustered by the agglomerative hierarchical clustering algorithm and verified by the XGBoost classifier in a Python programming environment. The developed size charts were validated statistically using aggregate loss and accommodation rate. Findings About 44% of the subjects encountered fit problems every time they own new readymade uniforms. Lengths and side seams of shirts, and lengths and waist girths of trousers are the most frequently altered garment sites. Analysis of the anthropometric measurements resulted in 13 and 15 sizes for the upper and lower bodies, respectively. Moreover, the comparison of the developed upper garment size chart with the existing size chart for a shirt showed a considerable difference. This indicates that inappropriate size charts create fit problems. Originality/value The study considers the analysis of fit problems and sizing system development in a less researched country. Moreover, the proposed data mining procedure and its application for size chart development is unique and workable.

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