Full Body Motion Capture Data with Finger Dexterity Tracking

Motion capture data records full body and finger movements using 10 IMU sensors and a Phi9 Glove. The dataset was created by phi-9 and last updated in March 2026. It is released for non-commercial research under a CC-BY-NC-4.0 license.

Use Cases

• Train models for general motion retargeting (GMR) using full-body IMU sensor streams.
• Analyze fine-grained finger dexterity patterns from Phi9 Glove tracking data.
• Develop human pose estimation systems from multimodal IMU and glove sensor fusion.
• Benchmark robotics control algorithms using realistic human motion capture sequences.

Strengths

• Includes fine-grained finger tracking via Phi9 Glove.
• Captures full-body motion with 10 IMU sensors (5 upper body, 5 lower body).

Limitations

• Dataset size and row count are unknown.
• Commercial use is prohibited by the CC-BY-NC-4.0 license.
• Specific temporal and geographic coverage are not provided.

Provenance

Source

phi-9

Collection Method

Recorded using MoWare IMU sensors and Phi9 Glove for motion capture.

Freshness

Last updated March 2026.