Reji, Nikhil, Paoletti, Paolo 
ORCID: 0000-0001-6131-0377, D'Aout, Kris ORCID: 0000-0002-6043-7744 and Fichera, Sebastiano ORCID: 0000-0003-1006-4959
(2025)
A Human Motion Data Capture Study The University of Liverpool Rehabilitation Exercise Dataset
Scientific data, 12 (1).
761-.
ISSN 2052-4463, 2052-4463
Abstract
The increasing accessibility of motion tracking technologies has resulted in a large amount of research focused on delivering exercise-based interventions remotely, coined under the term telerehabilitation. High quality human motion data is an essential component in the development and evaluation of Human Action Recognition (HAR) research, which plays a large role in exercise-based telerehabilitation. However, there is a lack of such human motion datasets for this domain, which hinders fast progress. This work presents a new human motion dataset named University of Liverpool Rehabilitation Exercise Dataset (UL-RED) containing 22 non-specialised exercises across 10 subjects and three data modalities: marker-based and marker-less motion tracking, and depth data. This dataset is the first to include motion repetitions of varying motion speeds, where subjects performed repetitions at a normal, fast, and slow pace. A total of 1,320 recordings were collected across the three data modalities, with over three hours of marker-based and marker-less motion tracking. This dataset is not only useful in the telerehabilitation landscape, but also within the wider field of HAR.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | human action recognition, human motion analysis, Human Motion Dataset, human motion tracking, marker motion tracking, marker-less motion tracking, Rehabilitation Exercises, Telerehabilitation |
| Divisions: | Faculty of Health & Life Sciences Faculty of Science & Engineering Faculty of Science & Engineering > School of Engineering Faculty of Health & Life Sciences > Inst. Life Courses & Medical Sciences |
| Depositing User: | Symplectic Admin |
| Date Deposited: | 09 May 2025 15:32 |
| Last Modified: | 24 Jan 2026 05:12 |
| DOI: | 10.1038/s41597-025-05099-1 |
| Open Access URL: | https://doi.org/10.1038/s41597-025-05099-1 |
| Related Websites: | |
| URI: | https://livrepository.liverpool.ac.uk/id/eprint/3192718 |
| Disclaimer: | The University of Liverpool is not responsible for content contained on other websites from links within repository metadata. Please contact us if you notice anything that appears incorrect or inappropriate. |
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