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Navigating the Choice Between Wrist-Worn Research- and Consumer-Grade Wearables to Monitor Movement Behaviours: A
Fabian Schwendinger1,2,3, Stefania Iaquinto3,4, Valentin Jaki Waibl3,5,6
1Division of Sports and Exercise Medicine, Department of Sport, Exercise and Health, University of Basel, Basel, Switzerland.
Selecting wearable devices for movement behavior research requires careful consideration of context, scientific needs, and user factors. This guide helps researchers choose the best wrist-worn wearables for their studies.
Area of Science:
- Public Health
- Biomedical Engineering
- Human Movement Science
Background:
- Wrist-worn wearables are widely adopted for monitoring movement behaviors in both research and daily life.
- A gap exists in guidance for selecting appropriate devices for specific research contexts, despite overlapping capabilities between consumer and research-grade options.
Purpose of the Study:
- To provide an expert-opinion-based framework for selecting wrist-worn wearable devices in movement behavior research.
- To assist researchers, particularly novices, in making informed decisions for device selection.
Main Methods:
- An expert-opinion-based perspective was developed through discussions at a public health workshop.
- A targeted, non-systematic literature review and expert feedback were incorporated.
- The framework is illustrated with case examples in Parkinson's disease movement monitoring and physical activity promotion in older adults.
Main Results:
- A three-dimensional framework for device selection is proposed, considering contextual/procedural, scientific, and device/user requirements.
- The framework aims to balance scientific rigor with practical feasibility in wearable research.
- Guidance is provided to facilitate the effective integration of wearable technologies.
Conclusions:
- This perspective offers practical guidance for selecting wearable sensors in movement behavior research.
- Informed decision-making can enhance the scientific rigor and feasibility of studies using wearable technology.
- The framework supports novices in navigating the complexities of wearable device selection for research.
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