Journal article
Quantifying Upper Limb Movement During Naturalistic Driving: A Clinically Informed Ecological Approach
Sensors, Vol.26(10), pp.1-12
2026
PMID: 42197929
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.
Details
- Title
- Quantifying Upper Limb Movement During Naturalistic Driving: A Clinically Informed Ecological Approach
- Authors
- Carly R. Rankin (Corresponding Author) - The University of QueenslandDwayne L. Mann - The University of QueenslandShamsi Shekari Soleimanloo - The University of QueenslandKalina R. Rossa - The University of QueenslandKaren A. Sullivan - Queensland University of TechnologyPaul M. Salmon - University of the Sunshine CoastCassandra L. Pattinson - The University of QueenslandSimon S. Smith - The University of Queensland
- Publication details
- Sensors, Vol.26(10), pp.1-12
- Publisher
- MDPI AG
- Date published
- 2026
- DOI
- 10.3390/s26103121
- ISSN
- 1424-8220
- PMID
- 42197929
- Copyright note
- © 2026 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
- Data Availability
- The data presented in this study are available on reasonable request from the corresponding author. The data are not publicly available due to ethical restrictions.
- Grants
- Organisation Unit
- Centre for Human Factors and Systems Science
- Language
- English
- Record Identifier
- 991233297902621
- Output Type
- Journal article
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