Evidence map›Paper›PMID 40573591›Full record

ArticleSensors (Basel, Switzerland)2025

Verification of Footwear Effects on a Foot Deformation Approach for Estimating Ground Reaction Forces and Moments.

Naoto Haraguchi, Hajime Ohtsu, Bian Yoshimura, Kazunori Hase

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2025. 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

4 authors.

Naoto HaraguchiDepartment of Mechanical Systems Engineering, Tokyo Metropolitan University, Hino 191-0065, Japan.ORCID 0000-0003-4932-8085
Hajime OhtsuDepartment of Mechanical Systems Engineering, Tokyo Metropolitan University, Hino 191-0065, Japan.ORCID 0000-0001-8048-281X
Bian YoshimuraDepartment of Mechanical Systems Engineering, Tokyo Metropolitan University, Hino 191-0065, Japan.
Kazunori HaseDepartment of Mechanical Systems Engineering, Tokyo Metropolitan University, Hino 191-0065, Japan.ORCID 0000-0003-2530-2040

Funding

Mizuno Sports Promotion Foundation FQ6-179
6 · The paper itself

Abstract

The foot deformation approach (FDA) estimates the ground reaction force (GRF) and moment (GRM) from kinematic data with practical accuracy, low computational cost, and no requirement for training data. Our previous study demonstrated practical estimation accuracy of the FDA under barefoot conditions. However, since the FDA estimates GRFs and GRMs based on foot deformation under body weight, there are concerns about its applicability to footwear conditions, where the foot deformation characteristics differ from those of bare feet. Following the issue, this study conducted a walking experiment at three different speeds with running shoes and sneakers to investigate the impact of footwear on GRF prediction using the FDA. The results showed that the FDA successfully provided practical accuracy when shoes were worn, comparable to that for a barefoot participant. The FDA offers advantages for estimating GRFs and GRMs for the footwear condition, while eliminating the need for collecting training data and enabling rapid analysis and feedback in clinical settings. Although the FDA cannot fully eliminate the effects of footwear and movement speed on prediction accuracy, it has the potential to serve as a convenient biomechanical-based method for estimating GRFs and GRMs during sports and daily activities with footwear.

Indexed as

FootShoesAdultBiomechanical PhenomenaFemaleGaitHumansMaleWalkingYoung Adultdynamics analysisgait analysisinverse kinematicsoptical motion capture

Identifiers

PMID40573591
PMCPMC12197032

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.