Evidence map›Paper›PMID 36502254›Full record

ArticleSensors (Basel, Switzerland)2022

Riyad Bin Rafiq, Kazi Miftahul Hoque, Muhammad Ashad Kabir, Sayed Ahmed, Craig Laird

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Riyad Bin RafiqDepartment of Computer Science and Engineering, University of North Texas, Denton, TX 76203-5017, USA.ORCID 0000-0003-0779-2410
Kazi Miftahul HoqueDepartment of Computer Science and Engineering, Chittagong University of Engineering and Technology, Chottogram 4349, Bangladesh.ORCID 0000-0003-0030-4824
Muhammad Ashad KabirSchool of Computing, Mathematics and Engineering, Charles Sturt University, Bathurst, NSW 2795, Australia.ORCID 0000-0002-6798-6535
Sayed AhmedSchool of Health and Human Sciences, Southern Cross University, East Lismore, NSW 2480, Australia.ORCID 0000-0002-9049-6825
Craig LairdEYM (Ease Your Motion) Pty. Ltd., Westmead, NSW 2145, Australia.ORCID 0000-0001-5666-6168

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The foot is a vital organ, as it stabilizes the impact forces between the human skeletal system and the ground. Hence, precise foot dimensions are essential not only for custom footwear design, but also for the clinical treatment of foot health. Most existing research on measuring foot dimensions depends on a heavy setup environment, which is costly and ineffective for daily use. In addition, there are several smartphone applications online, but they are not suitable for measuring the exact foot shape for custom footwear, both in clinical practice and public use. In this study, we designed and implemented computer-vision-based smartphone application

Indexed as

FootShoesAlgorithmsComputersFemaleHumansMaleSmartphone3D scanalgorithmcomputer visioncustom footwearfoot measurementimage processingsmartphone app

Identifiers

PMID36502254
PMCPMC9739363

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.