Accepted for/Published in: JMIR Serious Games
Date Submitted: Aug 24, 2023
Date Accepted: Sep 3, 2024
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Sensing in Exergames for Efficacy and Motion Quality: A review of recent publications
ABSTRACT
Background:
Many studies have shown a direct relation between physical activity and health. It has also been shown that the average fitness level in western societies is lower than recommended by the World Health Organization (WHO). One tool that can be used to increase physical activity for individual people is exergaming, i.e., serious games that motivate players to do sports exercises.
Objective:
This paper provides a review of recent studies regarding exergame efficacy to evaluate which sensing modalities are used to assess exergame efficacy as well as movement quality. We also analyze how the collected movement sensing data is being leveraged with respect to exergame efficacy and movement quality assessment.
Methods:
We conducted two extensive and systematic searches of the ACM Digital Library as well as the PubMed database according to the PRISMA statement.
Results:
The results of the analysis show that the sensors used in the exergames and the sensors used in the evaluation are in most cases mutually exclusive. While there is a wide range of sensors and methods to assess either game performance or exergame efficacy, movement quality is rarely considered as a metric.
Conclusions:
The lack of movement quality assessment is identified as a problem both for the studies and the exergames themselves, since a lack of quality assessment can lead to undetected and unwanted influences on the results as well as inefficient or even harmful player behavior. The paper then also provides a proposal on how to use the same sensors both as input for the exergame and to assess movement quality by presenting recent developments in motion recognition and sensing.
Citation
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Copyright
© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.