HiPHI-MOV
HiPHI (High Precision Human Interaction) Motion With Object & Vision
The HiPHI-MOV Dataset is a human-centric, high-fidelity multimodal corpus specifically engineered for the development of robust locomotion and whole-body loco-manipulation policies. It includes full-body motion capture, tracking of interacting objects, egocentric RGB-D visual data, third-person RGB-D visual data. HiPHI-MOV provides a synchronized data stream that co-registers ground-truth, full-body kinematic trajectories—captured via high-frequency motion capture—with ego-centric and exo-centric visual observations. This structured hierarchy enables the modeling of complex robotic behaviors, ranging from low-level motor primitives (joint-space dynamics) to high-level environmental affordances (scene-contextual navigation).
Acquisition devices
- Optical Motion Capture System
- Optical Object Tracking System
- High-Precision Tracking Camera
Modalities & precision
High precision- Hand: BVH FilesSub-mm
- Body: BVH FilesSub-mm
- Objects: 3D Mesh
Annual Data Production Capacity
Sample Data
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Dataset attributes & data distribution
Action distribution
Semantic Universe
Explore HiPHI-MOV motion families, semantic frames, and FrameNet-style lexical units across the script library.
Motion Quality
HiPHI-MOV traces set the clean artifact profile across motion sources.
Cross-dataset comparison
t-SNE visualization of motion samples from AMASS, LAFAN1, PHUMA, and HiPHI-MOV in a shared feature space. HiPHI-MOV occupies a broad portion of the embedding space and shows substantial overlap with the existing datasets, suggesting wide motion coverage and partial commonality in motion patterns, while still exhibiting distinctive local structures.
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