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Fix Data Integrity statement: frozen values, not NaN

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  1. README.md +1 -1
README.md CHANGED
@@ -23,7 +23,7 @@ pretty_name: Dynamic Intelligence - Egocentric Human Motion Annotation Dataset
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  RGB-D hand manipulation dataset captured with iPhone 13 TrueDepth sensor for humanoid robot training. Includes 6-DoF hand pose trajectories, synchronized video, and semantic motion annotations.
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- **Data Integrity:** We preserve raw observability—when hand tracking fails (out-of-frame, occlusion), states are explicitly marked as `NaN` rather than interpolated. This enables downstream models to reason about uncertainty instead of learning from fabricated data.
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  RGB-D hand manipulation dataset captured with iPhone 13 TrueDepth sensor for humanoid robot training. Includes 6-DoF hand pose trajectories, synchronized video, and semantic motion annotations.
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+ **Data Integrity:** When hand tracking fails (out-of-frame, occlusion), states hold their last known value (frozen). Downstream models can detect this by checking for identical consecutive frames (`frame[i] == frame[i-1]`). Euler angles are unwrapped for continuous visualization without ±180° discontinuities.
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