Pei-Wo Drone: a home-based exercise guidance system with a drone for older adults.

Kanjana Chaitika, Hsiao-Feng Chieh, Kai-Nan An, Chien-Ju Lin, Fong-Chin Su

Abstract read

In one paragraph

Article in Scientific reports, 2025. 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

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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

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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

5 authors.

Kanjana ChaitikaDepartment of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan.

Hsiao-Feng ChiehMedical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan.

Kai-Nan AnMedical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan.

Chien-Ju LinMedical Device Innovation Center, National Cheng Kung University, Tainan, Taiwan. sweetchien2@gmail.com.

Fong-Chin SuDepartment of Biomedical Engineering, National Cheng Kung University, Tainan, Taiwan. fcsu@ncku.edu.tw.

Funding

National Science and Technology Council 110-2221-E-006-011-MY3

6 · The paper itself

Abstract

Active and healthy aging is in great demand in an aging society. Maintaining a high level of physical function is a key aspect of healthy aging. However, many older adults engage in low levels of exercise and physical activity, often due to limited motivation or access to proper guidance. Here, we demonstrate a novel home-based exercise guidance system named Pei-Wo Drone, which assists users perform exercise or physical movements effectively in limited space. By following the drone's trajectory and receiving real-time feedback, users can ensure correct movements and make necessary adjustments. The system provides real-time continuous sound feedback to notify the users if they deviate from the drone's path. The study results indicate that older adult participants (12 females, 3 males; 67.40 ± 5.85 years) successfully followed the drone's movements. In summary, using a drone with real-time feedback to guide physical exercises has the potential to support healthy aging in older adults.

Indexed as

ExerciseAgedFemaleHumansMaleMiddle AgedRoboticsDroneExercise guidance toolHealthy aging promotionHome-based exerciseHuman‒drone interactionOlder adults

Identifiers

PMID40148539

DOI10.1038/s41598-025-94708-5

PMCPMC11950214

What OpenQuestion holds

Textmetadata

LicenceCC BY-NC-ND

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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.