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Smartphone-Aided VR Exergames for HIIT: Real-Time Pose Estimation and AI Feedback

This paper presents a VR exergame system for HIIT that uses a standard smartphone camera for full-body tracking, processed via real-time pose estimation and analyzed by an MCP-based backend with GPT-4o. A 20-participant study found higher enjoyment, immersion, and recommendation likelihood in VR versus non-VR, with AI feedback agreeing with expert evaluation at 87.5%.

Why it matters: Offers a cost-effective, scalable approach to VR fitness with validated AI feedback, relevant to both fitness tech and AI applications.