Evidence map›Paper›PMID 41799346›Full record

ArticleJournal of exercise rehabilitation2026

Development of motion recognition-based interactive training content to enhance motor functions in older adults.

Yun-Hee Sung

Abstract read
In one paragraph

Article in Journal of exercise rehabilitation, 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

1 author.

Yun-Hee SungDepartment of Physical Therapy, College of Health Sciences, Kyungnam University, Changwon, Korea.ORCID https://orcid.org/0000-0002-4877-9784

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The global aging population is rapidly increasing, with associated declines in motor and cognitive function leading to higher fall risk and reduced independence. Exercise interventions improve strength, balance, and cognition, but accessibility barriers remain. While technology assistance programs are promising, they often lack clinical perspectives, are difficult to adapt, and lack features that encourage participation. This study aimed to develop and evaluate a motion recognition-based interactive training program designed by a physical therapist to enhance motor function and physical fitness in older adults. Twenty-eight community-dwelling older adults (≥65 years) were randomly assigned to an experimental group (n=13) or control group (n=15). The experimental group completed three weekly sessions of motion recognition exercises with adaptive feedback for 4 weeks, while the control group performed stretching. Outcomes included task performance metrics (attempts, corrections, accuracy) automatically recorded by the program and fitness measures from the senior fitness test. The experimental group showed significant increases in attempts and corrections across all body parts, with notable accuracy improvement in head movements (

Indexed as

ExergameMotion recognitionPhysical functionRehabilitation

Identifiers

PMID41799346
PMCPMC12960042

What OpenQuestion holds

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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.