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Benchmarking occupational exoskeletons: An evidence mapping systematic review.
Sander De Bock1, Jo Ghillebert1, Renée Govaerts1
1Human Physiology and Sports Physiotherapy Research Group, Vrije Universiteit Brussel, 1050, Brussels, Belgium; Brussels Human Robotic Research Center (BruBotics), Vrije Universiteit Brussel, 1050, Brussels, Belgium.
This review maps protocols for assessing occupational exoskeletons, offering recommendations for a standardized framework. The goal is to improve benchmarking of exoskeleton effects on users through consistent, repeatable experiments.
Area of Science:
- Ergonomics and Human Factors
- Rehabilitation Engineering
- Occupational Health and Safety
Background:
- Occupational exoskeletons are increasingly used to support workers.
- Standardized assessment protocols are needed to benchmark their effectiveness.
- Existing research shows a dynamic evolution in exoskeleton testing methodologies.
Purpose of the Study:
- To systematically review protocols for assessing occupational exoskeleton effects on users.
- To develop recommendations for a literature-based assessment framework.
- To facilitate benchmarking of occupational exoskeleton performance across studies.
Main Methods:
- A systematic literature search was conducted in PubMed (MEDLINE), Web of Science, and Scopus.
- Studies investigating the effects of occupational exoskeletons on users were included.
- Data on exoskeleton types, validation methods, and experimental designs were extracted.
Main Results:
- 139 eligible studies were identified, covering back, shoulder, and other exoskeletons.
- Device validation commonly used controlled tasks with muscle activity and biomechanical data.
- As exoskeletons matured, tasks became more applied, increasing realism but reducing experimental control; user experience data gained importance.
Conclusions:
- Occupational exoskeleton assessment is a dynamic field.
- Recommendations are provided to enhance homogeneity and repeatability in future studies.
- A framework is proposed to facilitate benchmarking across diverse assessment protocols, balancing variability and standardization.
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