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Sensing In Exergames for Efficacy and Motion Quality: Scoping Review of Recent Publications
Sebastian Dill1, Philipp Niklas Müller2, Polona Caserman2
1KIS*MED (AI Systems in Medicine), Technical University of Darmstadt, Darmstadt, Germany.
JMIR Serious Games
|November 5, 2024
Summary
Exergaming enhances physical activity, but current methods rarely assess motion quality, increasing injury risk. This review proposes using existing sensors for both gameplay and motion analysis to improve exergame effectiveness and safety.
Area of Science:
- Health Sciences
- Computer Science
- Human-Computer Interaction
Background:
- Physical activity is crucial for health, yet fitness levels in Western societies are declining.
- Exergames offer a promising tool to increase physical activity by integrating exercise with gaming.
Purpose of the Study:
- To review recent studies on exergame efficacy and motion quality assessment.
- To identify sensing modalities used for evaluating exergame effectiveness and motion quality.
- To analyze how motion sensing data is utilized in exergame research.
Main Methods:
- Systematic literature searches of ACM Digital Library, PubMed, and IEEE Xplore (2015-2023).
- Eligibility criteria included peer-reviewed studies evaluating exergame efficacy with sensor data.
- 343 studies were initially screened, resulting in 67 eligible studies for analysis.
Main Results:
- Heart rate (HR) was the most common vital sign for efficacy (n=52).
- Microsoft Kinect was the most frequent exergame sensor (n=26).
- Sensors for gameplay and evaluation were often separate, with motion quality seldom assessed.
Conclusions:
- Lack of motion quality assessment in exergames can decrease effectiveness and raise injury risks.
- Proposes utilizing the same sensors for both exergame input and motion quality assessment.
- Highlights recent advancements in motion recognition and sensing for improved exergame design.
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