gait
Datasets
All datasets matching “gait”Gait120_EMG_gmr
Gait120_EMG_gmr
Part of the MuscleMimic collection.
MuscleMimic paper: Towards Embodied AI with MuscleMimic: Unlocking full-body musculoskeletal motor learning at scale.
Gait120-EMG
Gait120 — Human Locomotion & EMG (cleaned subset)
MuscleMimic paper: Towards Embodied AI with MuscleMimic: Unlocking full-body musculoskeletal motor learning at scale.
Per-subject electromyography (EMG), joint kinematics, motion-capture marker data and
SMPL motion fits for 120 participants performing level walking.
⚠️ This is a modified / trimmed redistribution, not the complete original archive.
See Relationship to the original dataset.
Attribution & license… See the full description on the dataset page: https://huggingface.co/datasets/amathislab/Gait120-EMG.har_gait_adults_2023-lendt
Lendt 2023 — thigh accelerometry + insole gait events, healthy adults
A thigh-worn Axivity AX6 accelerometer (100 Hz, lateral dominant mid-thigh) recorded
simultaneously with a loadsol pro force-sensing insole on the same leg, during four
2-minute treadmill walking trials at 2, 3, 4 and 5 km/h and one 5-minute outdoor walk
at preferred speed, by 21 healthy adults in Cologne, Germany. Every sample carries the
insole vertical ground reaction force and per-sample initial-contact… See the full description on the dataset page: https://huggingface.co/datasets/josefheidler/har_gait_adults_2023-lendt.arisole-strideiq-gait-seed-v0.1
Arisole StrideIQ Gait Seed Release v0.1
Important release notice
This is an aggregate-only seed release.
Version 0.1 does not contain raw videos, images, pose landmarks, landmark sequences, per-user records, per-clip records, medical records, personal identifiers or biometric templates.
It should not be represented as a trainable clip-level gait dataset.
labeled-gaits-instruct-200kpythia-1.4b_cyThe Pythia Scaling Suite is a collection of models developed to facilitate
interpretability research (see paper).
It contains two sets of eight models of sizes
70M, 160M, 410M, 1B, 1.4B, 2.8B, 6.9B, and 12B. For each size, there are two
models: one trained on the Pile, and one trained on the Pile after the dataset
has been globally deduplicated. All 8 model sizes are trained on the exact
same data, in the exact same order. We also provide 154 intermediate
checkpoints per model, hosted… See the full description on the dataset page: https://huggingface.co/datasets/Gait001/pythia-1.4b_cy.