Evidence map›Paper›PMID 42739964›Full record

ArticleSensors (Basel, Switzerland)2026

Sensor-Based Assessment of Upper-Limb Motor Control in Children and Adults Using Two-Dimensional Circular Target Tracking.

Yohan Song, Jihun Kim, Jongho Lee, Jaehyo Kim

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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.

Yohan SongDepartment of Human Ecology & Technology, Handong Global University, 558, Handong-ro, Heunghae-eup, Buk-gu, Pohang-si 37554, Gyeongsangbuk-do, Republic of Korea.ORCID 0009-0008-1900-4171
Jihun KimGlocal University 30 Project Group, Handong Global University, 558, Handong-ro, Heunghae-eup, Buk-gu, Pohang-si 37554, Gyeongsangbuk-do, Republic of Korea.ORCID 0009-0000-1191-7226
Jongho LeeDepartment of Electrical Engineering, Faculty of Engineering, Fukuoka Institute of Technology (FIT), 3-30-1 Wajiro-higashi, Higashi-ku, Fukuoka 811-0295, Japan.ORCID 0000-0001-5772-5094
Jaehyo KimGlocal University 30 Project Group, Handong Global University, 558, Handong-ro, Heunghae-eup, Buk-gu, Pohang-si 37554, Gyeongsangbuk-do, Republic of Korea.ORCID 0000-0002-0523-8304

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Portable sensor-based assessment of human motion is important for monitoring motor development and informing the design of rehabilitation applications. This study investigated upper limb motor characteristics during two-dimensional circular target tracking across different age groups and speeds. Fifty-one participants were divided into three groups: lower-elementary children, upper-elementary children, and adults. Using a tablet- and stylus-based input device suitable for human-computer interaction systems, participants performed the tracking task at three speeds. Each trial included relatively feedback-dominant target-visible segments and relatively feedforward-dominant temporarily target-invisible segments. The latter imposed greater demands on predictive tracking because current target-related visual information was unavailable. A participant-level Tracer Error Ratio was calculated as the target-invisible positional error divided by the target-visible positional error. The two child groups showed similar ratios across all speeds, whereas adults showed lower ratios than either child group. As tracking speed increased, the ratio decreased in all groups, with the adult mean falling below 1 only in the high-speed condition. These findings indicate an adult-child difference in predictive tracking during temporary target disappearance but do not directly identify a specific cerebellar mechanism. This portable tablet-stylus approach may be useful for research on age group differences in upper limb target tracking performance.

Indexed as

Upper ExtremityAdultChildFemaleHumansMaleMotion CaptureMovementYoung Adultfeedback controlfeedforward controlhuman–computer interactionmotor developmentpredictive trackingsensor-based human motion analysisupper limb assessmentvisuomotor tracking

Identifiers

PMID42739964
PMCPMC13568294

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.