Evidence map›Paper›PMID 42260088›Full record

ArticleScientific reports2026

Seated gait training with arm swing synchronized to a walking virtual avatar.

Kantaro Kojima, Hirotaka Uchitomi, Taiki Ogata, Yoshihiro Miyake

Abstract read
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. 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.

Kantaro KojimaDepartment of Computer Science, School of Computing, Institute of Science Tokyo, Yokohama, 226-8502, Japan.
Hirotaka UchitomiDepartment of Computer Science, School of Computing, Institute of Science Tokyo, Yokohama, 226-8502, Japan. uchitomi@c.titech.ac.jp.
Taiki OgataDepartment of Computer Science, School of Computing, Institute of Science Tokyo, Yokohama, 226-8502, Japan.
Yoshihiro MiyakeDepartment of Computer Science, School of Computing, Institute of Science Tokyo, Yokohama, 226-8502, Japan.

Funding

Japan Science and Technology Agency JPMJCR21C5Japan Society for the Promotion of Science 22K17630
6 · The paper itself

Abstract

In older adults, although gait training using a VR avatar has recently garnered attention, standing implementations entail safety risks and high operational costs. Therefore, we aimed to establish a safe and feasible gait training approach by leveraging rhythm assistance from a VR avatar in a seated posture, and to examine its acute effects on gait performance as a proof-of-concept. We developed a multimodal audiovisual feedback system that presents a walking VR avatar synchronized in real time with the participant's arm swing, and conducted seated gait training for twelve healthy older adults aged 70 years or older. Two training conditions were implemented: an "Avatar" condition, in which the avatar was presented, and a "No Avatar" condition, in which it was not. Gait was measured before and after each training condition to evaluate gait performance. The experimental results showed that in the Avatar condition, participants' arm swing movements were synchronized with the walking movements of the VR avatar. Regarding gait performance, stride length and maximum foot clearance significantly increased under the Avatar condition, with stride length showing a significantly greater improvement compared to the No Avatar condition. These findings suggest that synchronized audiovisual rhythm assistance provided by a VR avatar can contribute to enhancing the spatial characteristics of gait, even during seated training.

Indexed as

ArmAvatarGaitVirtual RealityWalkingAgedFemaleHumansMaleSitting PositionUser-Computer Interface

Identifiers

PMID42260088
PMCPMC13487181

What OpenQuestion holds

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Registered trials

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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.