Concurrent Validity and Agreement of Viewpoint-Dependent Markerless Motion Tracking in Upper-Limb Assessment: A Validation Against Optoelectronic Motion Capture.

Suman Shrestha, Yuichiro Honda, Haruki Toda, Takaaki Chin, Mitsuru Irie

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.

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

5 authors.

Suman ShresthaGraduate School of Engineering, Osaka Sangyo University, Daito 574-8530, Osaka, Japan.ORCID 0009-0009-8965-234X

Yuichiro HondaDepartment of Systems Engineering, Faculty of Systems Engineering, Osaka Sangyo University, Daito 574-8530, Osaka, Japan.

Haruki TodaDepartment of Research and Development, The Hyogo Institute of Assistive Technology, Kobe 651-2181, Hyogo, Japan.ORCID 0000-0001-8908-1561

Takaaki ChinDepartment of Research and Development, The Hyogo Institute of Assistive Technology, Kobe 651-2181, Hyogo, Japan.

Mitsuru IrieGraduate School of Engineering, Osaka Sangyo University, Daito 574-8530, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative upper-limb assessment in rehabilitation traditionally relies on expensive optoelectronic reference tracking. While single-camera markerless systems offer an accessible alternative, their viewpoint-dependent accuracy and depth ambiguity remain critical concerns. This study systematically validates an integrated MediaPipe tracking pipeline (Pose and Hands) against an 8-camera optoelectronic system. Ten healthy males performed four clinical upper-limb tasks, recorded simultaneously across three spatial camera viewpoints (frontal, oblique elevated, and oblique side). To isolate spatial accuracy, validations utilized direct unmodeled geometric tracking vectors rather than clinical joint models. Results demonstrate that agreement and accuracy are systematically dependent on movement geometry and camera perspective. Planar tasks like shoulder abduction exhibited moderate to good peak range-of-motion agreement (

Indexed as

Motion CaptureUpper ExtremityAdultBiomechanical PhenomenaHumansMaleMovementRange of Motion, Articularconcurrent validitymarkerless motion captureMediaPiperehabilitation engineeringupper limb kinematics

Identifiers

PMID42884448

DOI10.3390/s26196248

PMCPMC13667498

What OpenQuestion holds

Textmetadata

Read underepoch 390

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.