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Record W4412638442 · doi:10.1080/00140139.2025.2536545

Validating force-estimating insoles for calculating centre of pressure and vertical ground reaction forces during occupational tasks

2025· article· en· W4412638442 on OpenAlexafffund
Justin B. Davidson, Dennis J. Larson, J. Li, Steven L. Fischer

Bibliographic record

VenueErgonomics · 2025
Typearticle
Languageen
FieldMedicine
TopicEffects of Vibration on Health
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsGround reaction forceEngineeringStructural engineeringPhysicsKinematicsClassical mechanics

Abstract

fetched live from OpenAlex

Force estimating insoles offer a mobile alternative to in-ground force plates for measuring ground reaction forces (GRFs) and centre of pressure (CoP) in occupational settings. However, their validity in measuring GRFs for occupational tasks has yet to be validated and CoP estimation approach has yet to be developed. This study developed this method for a three-compartment force estimating insole and introduced a force drift correction approach. Thirty-nine participants completed lifting, packaging, palletising, and above shoulder work tasks while wearing insoles on force plates. A weighted algorithm and linear drift correction were developed and compared against force plate data. The CoP method resulted in root mean squared errors (RMSEs) between 1.7 and 3.4 cm. Drift correction reduced ground reaction force RMSE by approximately 28 N. These findings suggest that three-compartment force insoles may be able to provide valid CoP and force estimates, making them a prospective tool for in-field biomechanical measurements of occupational tasks.

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)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.556
Threshold uncertainty score0.420

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0000.000

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 head0.018
GPT teacher head0.327
Teacher spread0.309 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2025
Admission routes2
Has abstractyes

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