Evidence map›Paper›PMID 39517864›Full record

ArticleSensors (Basel, Switzerland)2024

One-Dimensional Motion Representation for Standing/Sitting and Their Transitions.

Geunho Lee, Yusuke Hayakawa, Takuya Watanabe, Chunhe Li

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2024. 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.

Geunho LeeGraduate School of Engineering, University of Miyazaki, 1-1 Gakuen-Kibanadai Nishi, Miyazaki 8892192, Japan.ORCID 0000-0003-3274-8550
Yusuke HayakawaGraduate School of Engineering, University of Miyazaki, 1-1 Gakuen-Kibanadai Nishi, Miyazaki 8892192, Japan.ORCID 0009-0001-6447-6038
Takuya WatanabeGraduate School of Engineering, University of Miyazaki, 1-1 Gakuen-Kibanadai Nishi, Miyazaki 8892192, Japan.
Chunhe LiGraduate School of Engineering, University of Miyazaki, 1-1 Gakuen-Kibanadai Nishi, Miyazaki 8892192, Japan.ORCID 0000-0002-1090-2011

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In everyday life, people often stand up and sit down. Unlike young, able-bodied individuals, older adults and those with disabilities usually stand up or sit down slowly, often pausing during the transition. It is crucial to design interfaces that accommodate these movements. Additionally, in public settings, protecting personal information is essential. Addressing these considerations, this paper presents a distance-based representation scheme for the motions of standing up and sitting down. This proposed scheme identifies both standing and sitting positions, as well as the transition process between these two states. Our scheme is based solely on the variations in distance between a sensor and the surfaces of the human body during these movements. Specifically, the proposed solution relies on distance as input, allowing for the use of a proximity sensor without the need for cameras or additional wearable sensor attachments. A single microcontroller is adequate for this purpose. Our contribution highlights that using a proximity sensor broadens the applicability of the approach while ensuring that personal information remains secure. Additionally, the scheme alleviates users' mental burden, particularly regarding privacy concerns. Extensive experiments were performed on 58 subjects, including 19 people over the age of 70, to verify the effectiveness of the proposed solution, and the results are described in detail.

Indexed as

MovementSitting PositionStanding PositionAdultAgedAlgorithmsFemaleHumansMaleMotionPostureWearable Electronic Devicesdistance measurementsinterfaceone-dimensional representationproximity sensorstanding-and-sitting motions

Identifiers

PMID39517864
PMCPMC11548509

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.