Evidence map›Paper›PMID 38007482›Full record

ArticleScientific data2023

Coming in handy: CeTI-Age - A comprehensive database of kinematic hand movements across the lifespan.

Evelyn Muschter, Jonas Schulz, Máté Tömösközi, Leonie Herbst, Lena Küssel, Merve Sefunç, Stefan Holtzhausen, Stefanie Speidel, Frank H P Fitzek, Shu-Chen Li

Open access · goldAbstract readDataset
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.0field-weighted citation impact, top 27% of its field
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

3 citing papers in PubMed, 9 citations in OpenAlex.

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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

10 authors at 3 institutions in 1 country.

Evelyn MuschterTechnische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany. evelyn.muschter@tu-dresden.de.ORCID 0000-0001-6870-5224
Jonas SchulzTechnische Universität Dresden, Deutsche Telekom Chair of Communication Networks, Dresden, 01062, Germany.ORCID 0009-0006-6226-4847
Máté TömösköziTechnische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany.
Leonie HerbstTechnische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany.ORCID 0009-0003-5525-2272
Lena KüsselTechnische Universität Dresden, Chair of Lifespan Developmental Neuroscience, Dresden, 01062, Germany.ORCID 0009-0007-0146-8157
Merve SefunçMimetik UG, Dresden, 01219, Germany.
Stefan HoltzhausenTechnische Universität Dresden, Chair of Virtual Product Development, Dresden, 01062, Germany.ORCID 0000-0002-8762-1015
Stefanie SpeidelTechnische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany.ORCID 0000-0002-4590-1908
Frank H P FitzekTechnische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany.
Shu-Chen LiTechnische Universität Dresden, Centre for Tactile Internet with Human-in-the-Loop, Dresden, 01062, Germany. shu-chen.li@tu-dresden.de.ORCID 0000-0001-8409-5390
Technische Universität Dresden · DEDeutsche Telekom (Germany) · DENational Center for Tumor Diseases · DE

Funding

Deutsche Forschungsgemeinschaft (German Research Foundation) 390696704
6 · The paper itself

Abstract

The Tactile Internet aims to advance human-human and human-machine interactions that also utilize hand movements in real, digitized, and remote environments. Attention to elderly generations is necessary to make the Tactile Internet age inclusive. We present the first age-representative kinematic database consisting of various hand gesturing and grasping movements at individualized paces, thus capturing naturalistic movements. We make this comprehensive database of kinematic hand movements across the adult lifespan (CeTI-Age-Kinematic-Hand) publicly available to facilitate a deeper understanding of intra-individual-focusing especially on age-related differences-and inter-individual variability in hand kinematics. The core of the database contains participants' hand kinematics recorded with wearable resistive bend sensors, individual static 3D hand models, and all instructional videos used during the data acquisition. Sixty-three participants ranging from age 20 to 80 years performed six repetitions of 40 different naturalistic hand movements at individual paces. This unique database with data recorded from an adult lifespan sample can be used to advance machine-learning approaches in hand kinematic modeling and movement prediction for age-inclusive applications.

Indexed as

HandLongevityAdultAgedAged, 80 and overBiomechanical PhenomenaHand StrengthHumansMiddle AgedMovementYoung Adult

Identifiers

PMID38007482
PMCPMC10676381
OpenAlexW4389001855

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.