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MuscleMimic GMR Retargeted Motions

Pre-retargeted motion capture data for the MyoBimanualArm musculoskeletal model, generated using General Motion Retargeting (GMR).

Dataset Groups

Group Motions Description
AMASS_BIMANUAL_TRAIN_MOTIONS 1770 AMASS upper limb training set
AMASS_BIMANUAL_TEST_MOTIONS 312 AMASS upper limb test set
ULTRA_MOCAP_BIMANUAL_TRAINING_SUBJECTS 160 ULTRA-MoCap subjects P01-P10
ULTRA_MOCAP_BIMANUAL_TESTING_SUBJECTS 48 ULTRA-MoCap subjects P11-P13
ULTRA_MOCAP_BIMANUAL_ALL 208 All ULTRA-MoCap subjects P01-P13

Usage

# Auto-download (integrated into training pipeline)
# Just set retargeting_method: gmr in your config - caches download automatically.

# Manual download
uv run musclemimic-download-gmr-caches --dataset-group AMASS_BIMANUAL_TRAIN_MOTIONS --env-name MyoBimanualArm

# Python API
from musclemimic.utils.gmr_cache import download_gmr_dataset_group

downloaded_paths = download_gmr_dataset_group(
    dataset_group="AMASS_BIMANUAL_TRAIN_MOTIONS",
    env_name="BimanualMuscle",
)

File Format

Each .npz file contains retargeted motion data with arrays: qpos, qvel, xpos, xquat, cvel, subtree_com, site_xpos, site_xmat, plus metadata (joint_names, body_names, site_names, frequency, split_points).

Sources and licenses

AMASS subset

Files outside MyoBimanualArm/gmr/ULTRA_MOCAP/ are derived from the AMASS dataset. Please comply with the AMASS license terms when using those files.

ULTRA-MoCap subset

MyoBimanualArm/gmr/ULTRA_MOCAP/<subject>/<trial>.npz contains 208 MyoBimanualArm trajectories retargeted from ULTRA-MoCap subjects P01-P13. Each trajectory has an adjacent .metadata.json file recording its source SHA-256, fitting provenance, pose prior, and root-initialization validation.

The ULTRA-MoCap subset is derived from the official ULTRA-MoCap v1 dataset, released under CC BY 4.0. It is not derived from AMASS. Please cite the original release:

Fritsche, Oliver; Camacho, Steven; Hossain, Md Sanzid Bin; Halpenny, Tyler; Archniegas, Carlos; Dranetz, Joseph; et al. (2025). ULTRA-MoCap: A Multimodal IMU and sEMG Dataset for Upper Body Joint Kinematics Analysis. figshare. Dataset. https://doi.org/10.6084/m9.figshare.28751156.v1

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