Smartphone Exergames with Real-Time Markerless Motion Capture: Challenges and Trade-offs

July 09, 2025 Β· Declared Dead Β· πŸ› arXiv.org

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Authors Mathieu Phosanarack, Laura Wallard, Sophie Lepreux, Christophe Kolski, EugΓ©nie Avril arXiv ID 2507.06669 Category cs.HC: Human-Computer Interaction Citations 0 Venue arXiv.org Last Checked 5 months ago
Abstract
Markerless Motion Capture (MoCap) using smartphone cameras is a promising approach to making exergames more accessible and cost-effective for health and rehabilitation. Unlike traditional systems requiring specialized hardware, recent advancements in AI-powered pose estimation enable movement tracking using only a mobile device. For an upcoming study, a mobile application with real-time exergames including markerless motion capture is being developed. However, implementing such technology introduces key challenges, including balancing accuracy and real-time responsiveness, ensuring proper user interaction. Future research should explore optimizing AI models for realtime performance, integrating adaptive gamification, and refining user-centered design principles. By overcoming these challenges, smartphone-based exergames could become powerful tools for engaging users in physical activity and rehabilitation, extending their benefits to a broader audience.
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