Research & development
Can a single camera do better?
We are building infrastructure to test whether an uncertainty-aware, biomechanically constrained algorithm can exceed baseline single-camera methods. The answer is not yet known.
Proposed methodology
The investigation combines human biomechanical constraints (segment lengths, joint limits), temporal continuity, probabilistic landmark confidence, camera viewpoint uncertainty, occlusion handling and calibration-aware joint-angle estimation. MediaPipe Pose remains the baseline; the estimator interface is pluggable so new algorithms can be benchmarked fairly.
Research modules
- Landmark Estimation Reliability
- Joint-Angle Error Analysis
- Camera Viewpoint Robustness
- Occlusion and Missing Landmark Detection
- Temporal Motion Consistency
- Cross-Device Generalization
- Uncertainty Calibration
Data provenance policy
- Example data, illustrative only, never presented as results.
- Calculated synthetic results, produced by running the deterministic benchmark engine on synthetic datasets with known ground truth.
- Real experimental validation, none yet. Future human-subject studies require separately approved infrastructure, consent and ethics review.