Evidence map›Paper›PMID 36471830›Full record

ArticleHeliyon2022

Establishment of open web platform based on 3D head model for product adaptability analysis and evaluation.

Zhelin Li, Xianghong Deng, Yu-Chi Lee, Lijun Jiang, Guangzheng Yu, Jiaxu Fan

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heliyon, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 27% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 2 institutions in 2 countries.

Zhelin LiSchool of Design South China University of Technology, Guangzhou, Guangdong 510006, China.
Xianghong DengSchool of Design South China University of Technology, Guangzhou, Guangdong 510006, China.
Yu-Chi LeeCollege of Management and Design, Ming Chi University of Technology, New Taipei City 243303, Taiwan.
Lijun JiangSchool of Design South China University of Technology, Guangzhou, Guangdong 510006, China.
Guangzheng YuSchool of Physics and Optoelectronics South China University of Technology, Guangzhou, Guangdong 510641, China.
Jiaxu FanSchool of Design South China University of Technology, Guangzhou, Guangdong 510006, China.
South China University of Technology · CNMing Chi University of Technology · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With improved living conditions, the demand for wearable products has increased, particularly for headwear. Traditionally, the dimensions of headwear products are designed according to 1D anthropometric data, such as head length, width, and eye width. However, this design method, applied to fit the 3D human head, results in differences in adaptability, which affect the wearing comfort of the user. Hence, this study aimed to develop an aided design platform based on a three-dimensional standard head shape to evaluate the virtual wearing of headwear products and adaptability testing. Specifically, a WebGL-based service, named the Chinese Headwear Adaptability Testing (CHAT) platform, was established. Validation and user studies were then conducted using an eye massager device. After the product was redesigned according to evaluation by the proposed system, the results show that the comfort and adaptability of the redesigned eye massager were significantly improved. The findings suggest that using the CHAT platform to design headwear products can help achieve a better wearing fit for the products.

Indexed as

AdaptabilityChinese headGender differenceHeadwear productPercentile

Identifiers

PMID36471830
PMCPMC9718972
OpenAlexW4309629283

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.