Evidence map›Paper›PMID 40707484›Full record

ArticleScientific data2025

Hand Motion Catalog of Human Center-Out Transport Trajectories Measured Redundantly in 3D Task-Space.

Tim Sziburis, Susanne Blex, Tobias Glasmachers, Ioannis Iossifidis

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Tim Sziburis *Institute of Computer Science, Ruhr West University of Applied Sciences, 45479, Mülheim an der Ruhr, Germany. tim.sziburis@alumni.cern.ORCID 0000-0002-7741-1276
Susanne Blex *Institute of Computer Science, Ruhr West University of Applied Sciences, 45479, Mülheim an der Ruhr, Germany.
Tobias GlasmachersInstitute for Neural Computation, Ruhr University Bochum, 44801, Bochum, Germany.
Ioannis IossifidisInstitute of Computer Science, Ruhr West University of Applied Sciences, 45479, Mülheim an der Ruhr, Germany.ORCID 0000-0002-9876-4396

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Motion modeling and variability analysis bear the potential to identify movement pathology but require profound data. We introduce a systematic dataset of 3D center-out task-space trajectories of human hand transport movements in a standardized setting. This set-up is characterized by reproducibility, leading to reliable transferability to various locations. The transport tasks consist of grasping a cylindrical object from a unified start position and transporting it to one of nine target locations in unconstrained operational space. The measurement procedure is automatized to record ten trials per target location and participant. The dataset comprises 90 movement trajectories for each hand of 31 participants without known movement disorders (21 to 78 years), resulting in 5580 trials. In addition, handedness is determined using the EHI. Data are recorded redundantly and synchronously by an optical tracking system and a single IMU sensor. Unlike the stationary capturing system, the IMU can be considered a portable, low-cost, and energy-efficient alternative to be implemented on embedded systems, for example in medical evaluation scenarios.

Indexed as

HandAdultAgedHumansMiddle AgedMovementYoung Adult

Identifiers

PMID40707484
PMCPMC12290106

What OpenQuestion holds

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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.