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Record W1999038030 · doi:10.15221/13.327

A Novel Approach for Fit Analysis of Protective Clothing Using Three-Dimensional Body Scanning

2013· article· en· W1999038030 on OpenAlexaff
Yehu Lu, Guowen Song, Jun Li

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicTextile materials and evaluations
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsClothingComputer science3d scanningComputer visionGeography

Abstract

fetched live from OpenAlex

The purpose of this study is to explore a proposed approach to quantitatively characterize a threedimensional (3-D) fit. A 3-D body scanning technique was applied to capture the contour of nude and clothed manikin. The mesh model formed from nude and clothed scan by Rapidform software was aligned, superimposed and sectioned. From the neck to cuff, total 72 horizontal sections with equal interval of 2 cm were developed. The air gap size and distribution of overall and local body surface were analyzed. The total air volume was also calculated. Fit analysis was conducted on several protective clothing. The effect of fabric properties on air gap distribution was explored. The results indicated that average air gap of the fit clothing is around 25~30 mm and the overall air gap distribution is similar. The air gap showed uneven distribution over the body and it related to the body geometry and fabric properties. Larger size of air gap in legs and abdomen was observed. The air gap in chest, pelvis and arms, however, is minimal. The air gap over convex area is smaller than that of concave area. Coverall made of stiff fabric provided large air gap size. The research finding provides a technical base for clothing engineer to understand the overall fit associated with protection, thermal and movement comfort.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.805
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.087
GPT teacher head0.318
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2013
Admission routes1
Has abstractyes

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