Integrated Real-Time Motion Tracking and AI Analysis for Athletic Performance Optimization
Applying Human Pose Estimation (HPE) in real world environments remains a challenging task, this paper explores and surveys real time HPE approaches and their limitations in sports analysis for individuals, alongside developing a practical lightweight prototype for real world testing and usage. The older marker-based motion capture systems evolving to the modern accessible and adaptable markerless deep learning approaches, this survey explores the foundational architectures, which balance precision and efficiency. We also compare algorithmic frameworks (top-down, bottom-up, one-stage approaches, etc.) on practical deployment metrics such as inference latency, frame rate, mean per-joint po...
| Authors | Parth Agrawal, Ronit, Sagar Kumar et al. |
|---|---|
| Primary category | cs.HC |
| Published | 23 April 2026 |
| Last updated at source | 23 April 2026 |
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