Evidence map›Paper›PMID 41748684›Full record

ArticleScientific reports2026

A pilot study of a mobile application for postural analysis and training support in Shotokan Karate.

Carlos Manuel Silva, António Oseas Pataca, Frederico Branco, Paulo Jorge Coelho, Ivan Miguel Pires

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Carlos Manuel SilvaEscola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveirot, Águeda, Portugal.
António Oseas PatacaInstituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, Águeda, Portugal.
Frederico BrancoInstitute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465, Porto, Portugal.
Paulo Jorge CoelhoSchool of Technology and Management, Polytechnic University of Leiria, Leiria, Portugal.
Ivan Miguel PiresInstituto de Telecomunicações, Escola Superior de Tecnologia e Gestão de Águeda, Universidade de Aveiro, Águeda, Portugal. impires@ua.pt.

Funding

Fundação para a Ciência e a Tecnologia UID/00308/2025Fundação para a Ciência e a Tecnologia UID/50008/2025Fundação para a Ciência e a Tecnologia UID/50014/2025
6 · The paper itself

Abstract

This paper presents a smartphone application that supports Shotokan Karate training by analysing posture and providing real-time feedback. The app evaluates three fundamental stances (Zenkutsu Dachi, Kokutsu Dachi, and Kiba Dachi) using Google ML Kit Pose Detection to extract body landmarks and compute joint-angle and alignment features, including proxy indicators of weight shift. The app also includes conditioning exercises (squats and push-ups) and a reflex-oriented interaction task. Results from a single-participant pilot are reported as feasibility evidence only and should not be generalised. A larger validation study with at least 30 practitioners across three skill levels (beginner, intermediate, advanced) is required, together with power analysis and reliability assessment, before broader conclusions can be drawn.

Indexed as

Martial ArtsMobile ApplicationsPostureHumansPilot ProjectsSmartphoneImage processingMobile devicesPostural analysisShotokan Karate

Identifiers

PMID41748684
PMCPMC13047017

What OpenQuestion holds

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LicenceCC BY
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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.