Evidence map›Paper›PMID 41682525›Full record

ArticleSensors (Basel, Switzerland)2026

Wearable Biomechanics and Video-Based Trajectory Analysis for Improving Performance in Alpine Skiing.

Denisa-Iulia Brus, Dorin-Ioan Cătană

Abstract read
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

2 authors.

Denisa-Iulia BrusDepartment of Motor Performance, Transilvania University of Brașov, 500036 Brașov, Romania.ORCID 0000-0002-3175-0299
Dorin-Ioan CătanăDepartment of Materials Engineering and Welding, Transilvania University of Brașov, 500036 Brașov, Romania.ORCID 0000-0001-7554-0720

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Performance diagnostics in alpine skiing increasingly rely on integrated biomechanical and kinematic assessments to support technique optimization under real training conditions; however, many existing approaches address trajectory geometry or biomechanical variables separately, limiting their explanatory power. This study evaluates an integrated analysis framework combining OptiPath, an AI-assisted video-based trajectory analysis tool, with XSensDOT wearable inertial sensors to identify technical inefficiencies during giant slalom skiing. Thirty competitive youth athletes (

Indexed as

Athletic PerformanceSkiingWearable Electronic DevicesAdolescentBiomechanical PhenomenaFemaleHumansMaleVideo Recordingalpine skiingimage processingperformance analysispolynomial regressionsport informaticstrajectory deviationwearable sensorsXSensDOT

Identifiers

PMID41682525
PMCPMC12900127

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.