Subject stringlengths 4 4 | Age int64 20 59 | Sex stringclasses 1
value | Height (m) float64 1.62 1.89 | BodyMass (Kg) float64 48.2 118 | age_group stringclasses 2
values |
|---|---|---|---|---|---|
S001 | 20 | M | 1.636 | 48.2 | YG |
S002 | 24 | M | 1.76 | 85 | YG |
S003 | 22 | M | 1.77 | 57.75 | YG |
S004 | 23 | M | 1.69 | 64 | YG |
S005 | 20 | M | 1.75 | 67.5 | YG |
S006 | 23 | M | 1.672 | 74.3 | YG |
S007 | 24 | M | 1.735 | 57.1 | YG |
S008 | 24 | M | 1.65 | 52.7 | YG |
S009 | 23 | M | 1.74 | 76.3 | YG |
S010 | 24 | M | 1.77 | 69.7 | YG |
S011 | 25 | M | 1.793 | 73.5 | YG |
S012 | 20 | M | 1.72 | 68.2 | YG |
S013 | 26 | M | 1.78 | 80.6 | YG |
S014 | 25 | M | 1.71 | 63.9 | YG |
S015 | 20 | M | 1.706 | 72.6 | YG |
S016 | 23 | M | 1.79 | 59.4 | YG |
S017 | 20 | M | 1.71 | 70.5 | YG |
S018 | 20 | M | 1.7 | 83.4 | YG |
S019 | 26 | M | 1.76 | 80.2 | YG |
S020 | 26 | M | 1.742 | 80.5 | YG |
S021 | 20 | M | 1.72 | 77.7 | YG |
S022 | 26 | M | 1.79 | 90.8 | YG |
S023 | 27 | M | 1.803 | 85.5 | YG |
S024 | 27 | M | 1.82 | 87.6 | YG |
S025 | 20 | M | 1.71 | 59.9 | YG |
S026 | 23 | M | 1.805 | 66.9 | YG |
S027 | 20 | M | 1.797 | 100 | YG |
S028 | 25 | M | 1.715 | 64.3 | YG |
S029 | 21 | M | 1.735 | 71.9 | YG |
S030 | 25 | M | 1.728 | 67.3 | YG |
S031 | 20 | M | 1.83 | 90.6 | YG |
S032 | 20 | M | 1.885 | 81.8 | YG |
S033 | 23 | M | 1.768 | 50.2 | YG |
S034 | 20 | M | 1.758 | 67.6 | YG |
S035 | 24 | M | 1.85 | 114.2 | YG |
S036 | 23 | M | 1.761 | 51.6 | YG |
S037 | 33 | M | 1.743 | 85.7 | YG |
S038 | 26 | M | 1.769 | 66 | YG |
S039 | 23 | M | 1.7 | 61.5 | YG |
S040 | 26 | M | 1.834 | 86.9 | YG |
S041 | 20 | M | 1.763 | 67.5 | YG |
S042 | 25 | M | 1.69 | 56.9 | YG |
S043 | 20 | M | 1.749 | 67.1 | YG |
S044 | 22 | M | 1.794 | 63.9 | YG |
S045 | 21 | M | 1.631 | 53.7 | YG |
S046 | 21 | M | 1.813 | 71.6 | YG |
S047 | 22 | M | 1.744 | 81 | YG |
S048 | 20 | M | 1.735 | 90.8 | YG |
S049 | 25 | M | 1.666 | 60.1 | YG |
S050 | 22 | M | 1.724 | 67 | YG |
S051 | 38 | M | 1.713 | 68.1 | YG |
S052 | 26 | M | 1.697 | 69.2 | YG |
S053 | 20 | M | 1.742 | 61 | YG |
S054 | 23 | M | 1.717 | 70.2 | YG |
S055 | 26 | M | 1.748 | 84.9 | YG |
S056 | 21 | M | 1.683 | 56.7 | YG |
S057 | 23 | M | 1.726 | 73.5 | YG |
S058 | 23 | M | 1.758 | 66.4 | YG |
S059 | 26 | M | 1.724 | 89.2 | YG |
S060 | 22 | M | 1.679 | 62.1 | YG |
S061 | 55 | M | 1.665 | 69.7 | OG |
S062 | 47 | M | 1.725 | 63 | OG |
S063 | 45 | M | 1.779 | 78 | OG |
S064 | 46 | M | 1.741 | 76.8 | OG |
S065 | 41 | M | 1.855 | 118 | OG |
S066 | 53 | M | 1.665 | 72.4 | OG |
S067 | 41 | M | 1.693 | 81.1 | OG |
S068 | 45 | M | 1.86 | 88.3 | OG |
S069 | 47 | M | 1.686 | 67.6 | OG |
S070 | 41 | M | 1.888 | 79.2 | OG |
S071 | 49 | M | 1.675 | 75.3 | OG |
S072 | 40 | M | 1.737 | 69.1 | OG |
S073 | 58 | M | 1.671 | 65.2 | OG |
S074 | 46 | M | 1.68 | 85 | OG |
S075 | 43 | M | 1.631 | 63.3 | OG |
S076 | 52 | M | 1.81 | 88.6 | OG |
S077 | 43 | M | 1.636 | 62 | OG |
S078 | 39 | M | 1.859 | 82.1 | OG |
S079 | 46 | M | 1.701 | 82.4 | OG |
S080 | 48 | M | 1.74 | 72.4 | OG |
S081 | 54 | M | 1.678 | 60 | OG |
S082 | 43 | M | 1.689 | 67.2 | OG |
S083 | 49 | M | 1.667 | 63.3 | OG |
S084 | 58 | M | 1.656 | 63.8 | OG |
S085 | 40 | M | 1.728 | 93.2 | OG |
S086 | 53 | M | 1.726 | 82.8 | OG |
S087 | 45 | M | 1.731 | 73.1 | OG |
S088 | 55 | M | 1.65 | 59.4 | OG |
S089 | 40 | M | 1.764 | 88.2 | OG |
S090 | 50 | M | 1.681 | 85.8 | OG |
S091 | 45 | M | 1.69 | 69 | OG |
S092 | 45 | M | 1.738 | 88.2 | OG |
S093 | 51 | M | 1.713 | 72.8 | OG |
S094 | 46 | M | 1.713 | 76.4 | OG |
S095 | 48 | M | 1.774 | 75.2 | OG |
S096 | 40 | M | 1.73 | 81.2 | OG |
S097 | 59 | M | 1.708 | 80.8 | OG |
S098 | 59 | M | 1.717 | 76.6 | OG |
S099 | 52 | M | 1.778 | 83.9 | OG |
S100 | 43 | M | 1.801 | 110 | OG |
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
This dataset is derived from and redistributed under CC BY 4.0:
Koo, Seungbum; Boo, Junyo; Seo, Dongwook; Kim, Minseung (2025). Comprehensive Human Locomotion and Electromyography Dataset: Gait120. figshare. Dataset. https://doi.org/10.6084/m9.figshare.27677016.v1
Original source: https://springernature.figshare.com/articles/dataset/27677016 · License: CC BY 4.0. If you use this data, please cite the original authors above.
Participants
120 participants, all male, organised as two age cohorts (subject ID is confounded with age):
| Cohort | Subjects | N | Mean age | Age range |
|---|---|---|---|---|
| Young (YG) | S001–S060 | 60 | ~23 yr | 20–25 |
| Older (OG) | S061–S120 | 60 | ~47 yr | 40–59 |
Aggregate (n=120): age 35.4 ± 12.9 yr · height 1.73 ± 0.06 m · body mass 74.2 ± 12.5 kg.
Per-subject values are in subject_metadata.csv (adds an age_group column) and in the
original Subject_Demographics.xlsx / Anthropometric_Data_Participants.xlsx.
Directory structure
Subjects are grouped in blocks of ten:
Gait120_001_to_010/
S001/
EMG/ConvertedData.mat # interpolated EMG per trial/step (LevelWalking)
JointAngle/LevelWalking/TrialXX/stepYY.mot # OpenSim inverse-kinematics joint angles (deg)
MotionCapture/LevelWalking/
TRC/TrialXX/{Step01.trc, Step02.trc, AllSteps.c3d,
mosh_results/.../AllSteps_stageii.pkl} # markers, C3D, SMPL (MoSh++) fit
MOT/TrialXX/{Step01.mot, Step02.mot} # ground reaction forces (2 force plates)
...
Subject_Demographics.xlsx
Anthropometric_Data_Participants.xlsx
subject_metadata.csv
Matlab_Codes_for_Processing/
Coverage notes
- EMG
ConvertedData.mat: all 120 subjects. - JointAngle/LevelWalking (
.mot): all 120 subjects. - MotionCapture TRC + SMPL fit (
AllSteps_stageii.pkl): all 120 subjects (5 trials each). - Ground reaction forces (
MotionCapture/.../MOT/): S011–S120 only (110 subjects). S001–S010 have no processed GRF in the source dataset.
Relationship to the original dataset
To keep the archive compact, the following were removed relative to the figshare release:
EMG/RawData.matandEMG/ProcessedData.mat(onlyConvertedData.matretained);- all preview
*.mp4animations; - all non-
LevelWalkingmovements (StairAscent/Descent, SlopeAscent/Descent, SitToStand, StandToSit) underJointAngle/.
JointAngle/LevelWalking was (re)fetched for all 120 subjects so that branch is complete.
For the full multi-activity dataset (raw EMG, stairs, slopes, sit-to-stand, etc.),
use the original figshare release.
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