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frame_idx
int64
0
303
subject
stringclasses
2 values
joint
stringclasses
56 values
x
float64
-0.94
1.03
y
float64
-0.08
0.85
z
float64
-0.78
0.9
0
subject_1
Hips
0.164406
0.215596
-0.466617
0
subject_1
Spine
0.173367
0.293535
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0
subject_1
Spine1
0.156795
0.363585
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0
subject_1
Spine2
0.155758
0.442724
-0.435712
0
subject_1
Spine3
0.156258
0.52124
-0.420384
0
subject_1
Spine4
0.155707
0.597813
-0.397226
0
subject_1
Neck
0.13015
0.6596
-0.322867
0
subject_1
Head
0.08391
0.778169
-0.195575
0
subject_1
LeftShoulder
0.158218
0.559594
-0.388366
0
subject_1
LeftArm
0.305218
0.533068
-0.374676
0
subject_1
LeftForeArm
0.366084
0.239844
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0
subject_1
LeftHand
0.119213
0.1799
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0
subject_1
LeftHandThumb1
0.093398
0.18855
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0
subject_1
LeftHandThumb2
0.055771
0.188335
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0
subject_1
LeftHandThumb3
0.032673
0.185566
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0
subject_1
LeftHandIndex1
0.040383
0.194696
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0
subject_1
LeftHandIndex2
0.003202
0.180092
-0.235279
0
subject_1
LeftHandIndex3
-0.017289
0.166333
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0
subject_1
LeftHandMiddle1
0.04536
0.182583
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0
subject_1
LeftHandMiddle2
0.004031
0.164806
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0
subject_1
LeftHandMiddle3
-0.019572
0.147307
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0
subject_1
LeftHandRing1
0.058394
0.170311
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0
subject_1
LeftHandRing2
0.023153
0.155657
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0
subject_1
LeftHandRing3
-0.002441
0.1405
-0.198537
0
subject_1
LeftHandPinky1
0.073494
0.160067
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0
subject_1
LeftHandPinky2
0.049046
0.151833
-0.194128
0
subject_1
LeftHandPinky3
0.032674
0.146023
-0.184219
0
subject_1
RightShoulder
0.139237
0.562116
-0.397158
0
subject_1
RightArm
0.001341
0.54507
-0.453674
0
subject_1
RightForeArm
-0.140045
0.299956
-0.35403
0
subject_1
RightHand
-0.11997
0.236748
-0.092302
0
subject_1
RightHandThumb1
-0.096869
0.230769
-0.074119
0
subject_1
RightHandThumb2
-0.080936
0.214386
-0.043759
0
subject_1
RightHandThumb3
-0.081819
0.20508
-0.015253
0
subject_1
RightHandIndex1
-0.109
0.232718
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0
subject_1
RightHandIndex2
-0.105556
0.211524
0.025639
0
subject_1
RightHandIndex3
-0.102274
0.193057
0.042168
0
subject_1
RightHandMiddle1
-0.127695
0.228995
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0
subject_1
RightHandMiddle2
-0.124569
0.208074
0.031709
0
subject_1
RightHandMiddle3
-0.120177
0.183634
0.048544
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subject_1
RightHandRing1
-0.145333
0.226164
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0
subject_1
RightHandRing2
-0.146977
0.205781
0.017207
0
subject_1
RightHandRing3
-0.145264
0.181611
0.034896
0
subject_1
RightHandPinky1
-0.159367
0.224299
-0.029709
0
subject_1
RightHandPinky2
-0.160901
0.20489
-0.006884
0
subject_1
RightHandPinky3
-0.161501
0.190843
0.00734
0
subject_1
LeftPelvis
0.253744
0.179525
-0.408274
0
subject_1
LeftUpLeg
0.166605
0.208209
-0.448073
0
subject_1
LeftLeg
0.266033
0.107356
-0.02094
0
subject_1
LeftFoot
0.284662
0.091675
-0.440234
0
subject_1
LeftToeBase
0.275933
0.061956
-0.576765
0
subject_1
RightPelvis
0.066878
0.180441
-0.51065
0
subject_1
RightUpLeg
0.147539
0.208302
-0.458519
0
subject_1
RightLeg
-0.076897
0.108739
-0.081404
0
subject_1
RightFoot
0.169037
0.082192
-0.420833
0
subject_1
RightToeBase
0.285375
0.070972
-0.497901
0
subject_2
Hips
-0.267709
0.157336
0.065636
0
subject_2
Spine
-0.202418
0.113079
0.078995
0
subject_2
Spine1
-0.128323
0.123264
0.107388
0
subject_2
Spine2
-0.053467
0.104966
0.128874
0
subject_2
Spine3
0.021857
0.088289
0.150046
0
subject_2
Spine4
0.097832
0.076054
0.171912
0
subject_2
Neck
0.174266
0.128165
0.20989
0
subject_2
Head
0.287314
0.251695
0.275925
0
subject_2
LeftShoulder
0.063614
0.09479
0.176769
0
subject_2
LeftArm
0.027418
0.076314
0.321159
0
subject_2
LeftForeArm
-0.262352
0.13676
0.369941
0
subject_2
LeftHand
-0.029705
0.254457
0.299779
0
subject_2
LeftHandThumb1
-0.009127
0.238142
0.285275
0
subject_2
LeftHandThumb2
0.022692
0.223561
0.270478
0
subject_2
LeftHandThumb3
0.050743
0.213086
0.272326
0
subject_2
LeftHandIndex1
0.055254
0.253061
0.297546
0
subject_2
LeftHandIndex2
0.091108
0.261967
0.28221
0
subject_2
LeftHandIndex3
0.09549
0.269298
0.258715
0
subject_2
LeftHandMiddle1
0.053604
0.271065
0.302732
0
subject_2
LeftHandMiddle2
0.091832
0.282034
0.281677
0
subject_2
LeftHandMiddle3
0.094681
0.290656
0.253084
0
subject_2
LeftHandRing1
0.042934
0.287066
0.307539
0
subject_2
LeftHandRing2
0.076675
0.300567
0.290828
0
subject_2
LeftHandRing3
0.079688
0.30963
0.262389
0
subject_2
LeftHandPinky1
0.029284
0.299309
0.311335
0
subject_2
LeftHandPinky2
0.050591
0.31137
0.293998
0
subject_2
LeftHandPinky3
0.051193
0.317174
0.274868
0
subject_2
RightShoulder
0.070004
0.099663
0.157292
0
subject_2
RightArm
0.132976
0.13742
0.026491
0
subject_2
RightForeArm
-0.114691
0.206594
-0.128027
0
subject_2
RightHand
0.050879
0.282451
0.071303
0
subject_2
RightHandThumb1
0.062024
0.259424
0.086973
0
subject_2
RightHandThumb2
0.084272
0.236285
0.107311
0
subject_2
RightHandThumb3
0.109915
0.221611
0.112516
0
subject_2
RightHandIndex1
0.128222
0.260145
0.098606
0
subject_2
RightHandIndex2
0.149715
0.258659
0.132308
0
subject_2
RightHandIndex3
0.143543
0.261082
0.156413
0
subject_2
RightHandMiddle1
0.131605
0.278622
0.097641
0
subject_2
RightHandMiddle2
0.154168
0.277428
0.136557
0
subject_2
RightHandMiddle3
0.143411
0.280803
0.164358
0
subject_2
RightHandRing1
0.126191
0.297307
0.093828
0
subject_2
RightHandRing2
0.151874
0.301287
0.124235
0
subject_2
RightHandRing3
0.145633
0.304577
0.153393
0
subject_2
RightHandPinky1
0.11703
0.312954
0.08915
End of preview. Expand in Data Studio

BJJ Kimura from Side Control — Research Trial (sampled across the action arc)

Tier: Research / Evaluation (free, CC BY-NC-SA 4.0) Source: RTK Motion Intelligence Platform · api.rtkmotion.io Full commercial dataset: rtk-training/bjj-kimura-lesson001 (gated)

A temporally-sampled trial subset of a full 4D motion-capture session of a Brazilian Jiu-Jitsu Kimura submission from side control, demonstrated by a Former IBJJF World Champion (anonymized) with a training partner. Multi-camera Captury volumetric capture, 12-camera synchronized rig.

What this dataset is

This is a research-tier preview of the full Lesson 001 capture. It preserves the complete technique arc — setup, application, resolution — by keeping every 4th frame from the source motion. Researchers can inspect the full skeletal trajectory of the technique without obtaining the full commercial release.

Full Lesson 001 (commercial) This research trial
Frame count 1215 304
Frame rate 60 fps 15.0 fps (effective)
Duration covered 20 s 20 s (same arc, downsampled)
Joint hierarchy 56-joint Captury rig + finger chains identical
File set mesh + rig + video + retargets + integrity BVH + frames.json + manifest

The 4× subsampling makes this dataset insufficient for animation production (frame-rate too low for smooth playback) but fully sufficient for:

  • Validating BVH parser / pipeline compatibility
  • Citing the source capture in academic papers
  • Biomechanical analysis at coarse temporal resolution
  • Inspecting the 56-joint skeletal hierarchy
  • Reproducing methods that operate on sparse keypoint data

File contents

File Size SHA-256 (12 char)
frames.json 2,602,219 bytes af36347932c4…
mocap/subject_1.bvh 527,813 bytes cbad13da7bb0…
mocap/subject_2.bvh 529,809 bytes c163f70a8335…
preview/frames_flat.csv 2,921,288 bytes a02338a1a366…
  • mocap/subject_*.bvh — Per-subject skeletal animation. HIERARCHY preserved (56 articulating joints, 3-segment finger chains). MOTION subsampled to 304 frames at 15.0 fps; Frames: and Frame Time: headers rewritten for correct playback.
  • frames.json — Per-frame world-space joint positions for both subjects, subsampled to match the BVH cadence. Each entry contains subject_1 and subject_2 dicts mapping joint name → [x, y, z].
  • manifest.json — File-set manifest with SHA-256 hashes for integrity verification.

License — CC BY-NC-SA 4.0

This dataset is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International.

You may:

  • ✅ Use, reproduce, and adapt the data for research, academic, and non-commercial purposes
  • ✅ Cite and reference in publications (please use the attribution below)
  • ✅ Share adapted materials under a compatible ShareAlike license

You may NOT:

  • ❌ Use the data for commercial purposes (game development, animation production, film, simulation, AI training for commercial sale, etc.)
  • ❌ Train machine learning models intended for commercial deployment
  • ❌ Redistribute under a more permissive license

For commercial use, see the channel ladder below.

Commercial use — choose your channel

Tier Channel What's included Price
Research (this dataset) Hugging Face — free Subsampled BVH + frames + manifest $0
Commercial mesh + robot trajectory Gumroad OBJ + MTL + SKIN + Unitree G1 NPZ trajectories $249
Studio commercial (multi-project) Fab.comrtkmotion publisher Full Lesson 001 with rigged FBX + mesh + studio-wide rights $599
Commercial AI / ML training Protege.ai Robot-retargeted G1 NPZ trajectories + AI-training rights inquire
Per-file agent payments api.rtkmotion.io/mcp (x402 / USDC) BVH, video, robotarget per-asset $0.25–$15

For full commercial bundle access through Hugging Face, see the gated sibling dataset: rtk-training/bjj-kimura-lesson001.

Provenance

Every file in this pack is referenced in manifest.json with its SHA-256 hash. The RTK Motion Intelligence Platform issues ECDSA-P256 signed provenance records on every paid transaction; verification:

Citation

@misc{rtk_bjj_kimura_lesson001_trial,
  title  = {BJJ Kimura from Side Control — Research Trial (sampled)},
  author = {RTK Motion Intelligence Platform},
  year   = {2026},
  url    = {https://huggingface.co/datasets/rtk-training/bjj-kimura-lesson001-trial},
  note   = {Temporally-sampled subset of the full Lesson 001 commercial capture.
            CC BY-NC-SA 4.0.}
}

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