Multiple subjects exercising

• TRAIN set: 8 subjects (all trainees)
• TEST set: 3 subjects (1 trainer, 2 trainees)

In each recording, the subject is motion tracked with a marker-based motion capture system (Vicon).

Multiple cameras

• 4 different views
• 900x900 resolution
• 50 fps
• Camera parameters:
  • extrinsics
  • intrinsics for 2 different camera models (one assuming image distortion, one ignoring it)
• The TEST set consists of only one random camera viewpoint per sequence, to avoid simplifying the 3D Reconstruction challenge through multi-view triangulation/optimization.

47 Exercises

• Warmups
• Barbell Exercises
• Dumbbell Exercises
• Equipment-Free Exercises

GHUM and SMPLX meshes

• Ground-truth, well-alligned mesh - obtained by fitting the GHUM model to accurate 3d markers, multi-view image evidence and body scans
• We retarget the GHUM meshes to the SMPLX topology and provide pose and shape parameters for both
• 50 fps

3D skeletons

• Ground-truth 3d skeletons with 25 joints (including the 17 Human3.6m joints)
• 50 fps

Repetition Segmentations

Each of the 611 recordings contain:

• the time intervals of each of the >5 repetitions
• name of the exercise type

Due to the 4 viewpoints, this amounts to 2444 pairs of videos and repetition segmentations.