Evidence map›Paper›PMID 42122462›Full record

ArticleSensors (Basel, Switzerland)2026

Development and Validation of a Kinetics Prediction Model for Football Cutting Using a Single Trunk-Mounted IMU.

Inae Kim, Soo-Ji Han, Joong Hyun Ryu, Sanghyuk Han, Jinsung Yoon, Jongchul Park

Abstract readValidation Study
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. 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

6 authors.

Inae KimDepartment of Physical Education, Graduate School, Pukyong National University, Busan 48513, Republic of Korea.
Soo-Ji HanIndustry-University Cooperation Foundation, Pukyong National University, Busan 48513, Republic of Korea.ORCID 0009-0002-1673-0828
Joong Hyun RyuPerformance Support & Analytics Section, Aspire Academy, Doha 22287, Qatar.
Sanghyuk HanRehabilitation Department, Aspetar Orthopaedic and Sports Medicine Hospital, Doha 29222, Qatar.ORCID 0009-0006-9986-8599
Jinsung YoonFitogether Inc., Seoul 04378, Republic of Korea.
Jongchul ParkDepartment of Marine Sports, Pukyong National University, Busan 48513, Republic of Korea.ORCID 0000-0002-3802-568X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to estimate vertical ground reaction force (vGRF) and lower-limb joint moments during football cutting movements using a trunk-mounted inertial measurement unit (IMU) combined with a Random Forest model, and to validate the feasibility of this approach. IMU data collected during 45° cutting tasks were corrected using an Extended Kalman Filter (EKF). The model demonstrated good and consistent performance for vGRF (coefficient of determination,

Indexed as

FootballTorsoAdultElectronic Data ProcessingHumansKineticsMaleMovementRandom ForestYoung Adultcuttinginertial measurement unitjoint momentmachine learningvertical ground reaction force

Identifiers

PMID42122462
PMCPMC13165862

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.