Multimodal Human Manipulation Dataset
6,000 hours · multi-sensor · mocap + RGB-D
6,000-hour sensor-rich human manipulation dataset with egocentric video, external cameras, RGB-D, motion capture, IMU signals, hand pose, object labels, task phases, and interaction annotations.
What's included
- Synchronized egocentric and external video
- RGB-D and depth
- Motion capture
- IMU signals
- Hand pose
- Body pose
- Object and tool labels
- Action segments
- Hand-object contact labels
- Task phases
- Completion states
- Calibration checks
- Sensor alignment QA