Evidence map›Paper›PMID 42197929›Full record

ArticleSensors (Basel, Switzerland)2026

Quantifying Upper Limb Movement During Naturalistic Driving: A Clinically Informed Ecological Approach.

Carly R Rankin, Dwayne L Mann, Shamsi Shekari Soleimanloo, Kalina R Rossa, Karen A Sullivan, Paul M Salmon, Cassandra L Pattinson, Simon S Smith

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

8 authors.

Carly R RankinFaculty of Health, Medicine and Behavioural Sciences, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-1146-2097
Dwayne L MannSchool of Electrical Engineering and Computer Science, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0002-2499-5415
Shamsi Shekari SoleimanlooSchool of Psychology, The University of Queensland, Brisbane, QLD 4072, Australia.ORCID 0000-0001-8142-8508
Kalina R RossaChild Health Research Centre, The University of Queensland, South Brisbane, QLD 4101, Australia.ORCID 0000-0001-7004-9553
Karen A SullivanSchool of Psychology and Counselling, Queensland University of Technology, Brisbane, QLD 4000, Australia.ORCID 0000-0002-5952-5114
Paul M SalmonThe Centre for Human Factors and Systems Science, University of the Sunshine Coast, Sippy Downs, QLD 4556, Australia.ORCID 0000-0001-7403-0286
Cassandra L PattinsonChild Health Research Centre, The University of Queensland, South Brisbane, QLD 4101, Australia.ORCID 0000-0002-5975-7935
Simon S SmithLife Course Centre, The University of Queensland, Indooroopilly, QLD 4068, Australia.ORCID 0000-0002-0362-9045

Funding

ARC Centre of Excellence for Children and Families over the Life Course CE200100025Australian Government Research Training Program Scholarship N/ANational Health and Medical Research Council APP1163614
6 · The paper itself

Abstract

Limb movement is an important component of control during safety-critical tasks such as driving. Restricted movement, such as limitations associated with an injury or surgery to the upper limb, may impact driving safety. However, the degree of upper limb movement required for driving is not well described outside of traditional laboratory settings. There is a need for new affordable, accessible, reliable and accurate measures of normative limb movement to guide decisions about driving capacity. This feasibility study applied a volume estimation approach to wrist-worn triaxial accelerometry data to quantify upper limb movement during naturalistic driving in a young adult population. A sample of 89 participants wore accelerometers while engaging in daily driving activity over a two-week period. Results demonstrated a distribution of movement volumes, consistent with variation in individual driving behaviour. This volume estimation approach has strong potential for further development as both a research tool and clinical assessment method, particularly in rehabilitation and return-to-driving assessments following upper limb injury or surgery.

Indexed as

Automobile DrivingUpper ExtremityAccelerometryAdultFemaleHumansMaleMovementWearable Electronic DevicesYoung Adultaccelerometryconvex hull volumehuman motion analysisnaturalistic drivingreturn to drivingupper limb movementwearable sensors

Identifiers

PMID42197929
PMCPMC13211160

What Socratic 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 Socratic graph.