Evidence map›Paper›PMID 40157915›Full record

ArticleScientific data2025

A Full-Body IMU-Based Motion Dataset of Daily Tasks by Older and Younger Adults.

Loreen Pogrzeba, Evelyn Muschter, Simon Hanisch, Veronica Y P Wardhani, Thorsten Strufe, Frank H P Fitzek, Shu-Chen Li

Abstract readDataset
PubMed Full text at PMC Publisher
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

7 authors.

Loreen PogrzebaTechnische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, 01062, Dresden, Germany. loreen.pogrzeba@tu-dresden.de.ORCID http://orcid.org/0000-0002-5420-7512
Evelyn MuschterTechnische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, 01062, Dresden, Germany.ORCID http://orcid.org/0000-0001-6870-5224
Simon HanischTechnische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, 01062, Dresden, Germany.ORCID http://orcid.org/0000-0002-1525-3911
Veronica Y P WardhaniTechnische Universität Dresden, Research Hub 6G-life, 01062, Dresden, Germany.
Thorsten StrufeTechnische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, 01062, Dresden, Germany.
Frank H P FitzekTechnische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, 01062, Dresden, Germany.
Shu-Chen LiTechnische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, 01062, Dresden, Germany. shu-chen.li@tu-dresden.de.ORCID http://orcid.org/0000-0001-8409-5390

Funding

Bundesministerium für Bildung und Forschung (Federal Ministry of Education and Research) 16KISK001KDeutsche Forschungsgemeinschaft (German Research Foundation) 390696704
6 · The paper itself

Abstract

This dataset (named CeTI-Age-Kinematics) fills the gap in existing motion capture (MoCap) data by recording kinematics of full-body movements during daily tasks in an age-comparative sample with 32 participants in two groups: older adults (66-75 years) and younger adults (19-28 years). The data were recorded using sensor suits and gloves with inertial measurement units (IMUs). The dataset features 30 common elemental daily tasks that are grouped into nine categories, including simulated interactions with imaginary objects. Kinematic data were recorded under well-controlled conditions, with repetitions and well-documented task procedures and variations. It also entails anthropometric body measurements and spatial measurements of the experimental setups to enhance the interpretation of IMU MoCap data in relation to body characteristics and situational surroundings. This dataset can contribute to advancing machine learning, virtual reality, and medical applications by enabling detailed analyses and modeling of naturalistic motions and their variability across a wide age range. Such technologies are essential for developing adaptive systems for applications in tele-diagnostics, rehabilitation, and robotic motion planning that aim to serve broad populations.

Indexed as

Activities of Daily LivingAdultAgedBiomechanical PhenomenaFemaleHumansMaleMovementYoung Adult

Identifiers

PMID40157915
PMCPMC11954993

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.